Micro-Star International Co., Ltd. Raider GE76 12UE
Geekbench ML Score
3143
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | December 21 2023 10:48 PM |
| Views | 3 |
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 | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1620
303.2 IPS |
|
|
Image Classification (F16)
|
100% |
1583
296.3 IPS |
|
|
Image Classification (I8)
|
99% |
2842
531.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1487
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2292
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5309
6.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
5425
6.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
17347
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
1630
121.7 IPS |
|
|
Object Detection (F16)
|
100% |
1696
126.6 IPS |
|
|
Object Detection (I8)
|
62% |
1561
116.5 IPS |
|
|
Face Detection (F32)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (F16)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (I8)
|
89% |
3759
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6294
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6454
50.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11704
90.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13141
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13509
17.8 IPS |
|
|
Style Transfer (I8)
|
98% |
20627
27.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2633
94.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2804
100.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4004
143.0 IPS |
|
|
Text Classification (F32)
|
100% |
1398
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1342
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
395
568.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1629
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1587
29.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2179
40.1 IPS |
