Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1563
Single Precision Score
1603
Half Precision Score
1058
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 02:26 AM |
| Views | 4 |
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% |
676
125.6 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (Q)
|
100% |
567
105.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4791
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5207
6.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3254
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (HP)
|
98% |
633
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
628
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1133
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2822
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3101
24.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2097
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9876
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13287
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7377
9.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
858
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.4 IPS |
|
|
Text Classification (Q)
|
97% |
396
531.1 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
359
6.73 IPS |
