Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
3058
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:16 PM |
| Views | 4 |
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% |
1798
336.5 IPS |
|
|
Image Classification (F16)
|
100% |
1727
323.2 IPS |
|
|
Image Classification (I8)
|
99% |
3438
643.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1405
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1262
21.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2133
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4937
5.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
5099
6.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
16222
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
1525
113.8 IPS |
|
|
Object Detection (F16)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (I8)
|
62% |
1622
121.1 IPS |
|
|
Face Detection (F32)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (F16)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (I8)
|
89% |
3763
44.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6152
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6299
48.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13354
103.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12297
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10844
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
16905
22.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2707
96.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2735
97.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4165
148.8 IPS |
|
|
Text Classification (F32)
|
100% |
1582
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1615
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
401
576.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1669
30.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2307
42.5 IPS |
