Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2469
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:41 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 | Ultimative Leistung |
| 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% |
1266
236.9 IPS |
|
|
Image Classification (F16)
|
100% |
1319
246.8 IPS |
|
|
Image Classification (I8)
|
99% |
3213
601.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1083
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1025
17.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1771
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3492
4.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
3373
4.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
14670
17.8 IPS |
|
|
Object Detection (F32)
|
100% |
1438
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
1136
84.8 IPS |
|
|
Object Detection (I8)
|
62% |
1327
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (F16)
|
100% |
2271
27.0 IPS |
|
|
Face Detection (I8)
|
89% |
3465
41.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3907
30.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3924
30.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12370
95.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8158
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8393
11.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16392
21.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2289
81.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1783
63.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3842
137.2 IPS |
|
|
Text Classification (F32)
|
100% |
1478
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1191
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
337
484.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2031
37.4 IPS |
