Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2532
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 02:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1336
250.0 IPS |
|
|
Image Classification (F16)
|
100% |
1337
250.1 IPS |
|
|
Image Classification (I8)
|
99% |
3242
606.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1781
29.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4204
5.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
3042
3.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
16476
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1190
88.9 IPS |
|
|
Object Detection (I8)
|
62% |
1323
98.8 IPS |
|
|
Face Detection (F32)
|
100% |
2511
29.9 IPS |
|
|
Face Detection (F16)
|
100% |
2174
25.9 IPS |
|
|
Face Detection (I8)
|
89% |
3386
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4192
32.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4373
33.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
11675
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8524
11.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8175
10.8 IPS |
|
|
Style Transfer (I8)
|
98% |
14957
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2277
81.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1709
61.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3866
138.1 IPS |
|
|
Text Classification (F32)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
339
487.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1522
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2097
38.6 IPS |
