Micro-Star International Co., Ltd. GE76 Raider 11UH
Geekbench ML Score
3529
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE76 Raider 11UH |
| Motherboard | Micro-Star International Co., Ltd. MS-17K3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 8 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2047
383.0 IPS |
|
|
Image Classification (F16)
|
100% |
2061
385.7 IPS |
|
|
Image Classification (I8)
|
99% |
3839
718.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1668
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1602
26.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2376
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6376
7.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
6511
7.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
21273
25.8 IPS |
|
|
Object Detection (F32)
|
100% |
1850
138.1 IPS |
|
|
Object Detection (F16)
|
100% |
1858
138.7 IPS |
|
|
Object Detection (I8)
|
62% |
1863
139.1 IPS |
|
|
Face Detection (F32)
|
100% |
2704
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (I8)
|
89% |
4141
49.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7301
56.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7346
57.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
14292
110.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15093
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14948
19.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19102
25.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3275
116.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3303
117.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3694
131.9 IPS |
|
|
Text Classification (F32)
|
100% |
1631
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1652
2.37 KIPS |
|
|
Text Classification (I8)
|
98% |
408
586.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2024
37.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2030
37.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2591
47.7 IPS |
