Micro-Star International Co., Ltd. Raider GE76 12UE
Geekbench ML Score
2727
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | December 21 2023 11:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider GE76 12UE |
| Motherboard | Micro-Star International Co., Ltd. MS-17K4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1307
244.5 IPS |
|
|
Image Classification (F16)
|
100% |
1343
251.3 IPS |
|
|
Image Classification (I8)
|
100% |
1055
197.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2072
34.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2067
34.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1539
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12456
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12419
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
6197
7.50 IPS |
|
|
Object Detection (F32)
|
100% |
1460
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1450
108.3 IPS |
|
|
Object Detection (I8)
|
54% |
1235
92.2 IPS |
|
|
Face Detection (F32)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (F16)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (I8)
|
89% |
2025
24.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6328
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6414
49.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
4510
35.0 IPS |
|
|
Style Transfer (F32)
|
100% |
26715
35.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27004
35.5 IPS |
|
|
Style Transfer (I8)
|
98% |
17178
22.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3844
137.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3851
137.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1610
57.5 IPS |
|
|
Text Classification (F32)
|
100% |
975
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
923
1.33 KIPS |
|
|
Text Classification (I8)
|
98% |
514
739.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1178
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1166
21.5 IPS |
|
|
Machine Translation (I8)
|
70% |
600
11.0 IPS |
