Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1730
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:17 PM |
| 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% |
815
152.5 IPS |
|
|
Image Classification (F16)
|
100% |
855
160.0 IPS |
|
|
Image Classification (I8)
|
99% |
2047
383.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
676
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
692
11.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1330
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2474
3.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
2371
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
9245
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
797
59.5 IPS |
|
|
Object Detection (F16)
|
100% |
838
62.6 IPS |
|
|
Object Detection (I8)
|
62% |
1011
75.5 IPS |
|
|
Face Detection (F32)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (F16)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (I8)
|
89% |
2502
29.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2834
22.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3083
23.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8979
69.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5429
7.14 IPS |
|
|
Style Transfer (F16)
|
100% |
5487
7.22 IPS |
|
|
Style Transfer (I8)
|
98% |
12428
16.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1207
43.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1583
56.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2791
99.7 IPS |
|
|
Text Classification (F32)
|
100% |
931
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
250
359.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1039
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1421
26.2 IPS |
