Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1467
Single Precision Score
1538
Half Precision Score
979
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 12 2024 09:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.2 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
100% |
494
91.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4997
5.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
3151
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
98% |
591
47.1 IPS |
|
|
Object Detection (Q)
|
89% |
555
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
926
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2660
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2935
22.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
1955
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9498
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12736
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7369
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.1 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.9 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
288
6.42 IPS |
