Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1557
Single Precision Score
1605
Half Precision Score
1056
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
100% |
569
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4808
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5256
6.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
3266
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
98% |
631
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
629
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1131
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2834
21.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3105
24.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2099
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9931
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13419
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7391
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
865
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.6 IPS |
|
|
Text Classification (Q)
|
97% |
388
519.7 IPS |
|
|
Machine Translation (SP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.62 IPS |
