Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2038
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 11:46 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% |
932
174.4 IPS |
|
|
Image Classification (F16)
|
100% |
1013
189.5 IPS |
|
|
Image Classification (I8)
|
99% |
2210
413.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
890
14.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
930
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1556
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2586
3.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
2632
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
11943
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
883
65.9 IPS |
|
|
Object Detection (F16)
|
100% |
1084
80.9 IPS |
|
|
Object Detection (I8)
|
62% |
986
73.6 IPS |
|
|
Face Detection (F32)
|
100% |
2066
24.6 IPS |
|
|
Face Detection (F16)
|
100% |
2098
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
2811
33.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3852
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3960
30.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
8846
68.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6641
8.74 IPS |
|
|
Style Transfer (F16)
|
100% |
6521
8.58 IPS |
|
|
Style Transfer (I8)
|
98% |
13148
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1741
62.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1496
53.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2749
98.2 IPS |
|
|
Text Classification (F32)
|
100% |
1298
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1336
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
311
447.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1229
22.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1243
22.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1677
30.9 IPS |
