Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1547
Single Precision Score
1552
Half Precision Score
1053
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:45 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
593
110.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4577
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4990
5.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
3023
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (HP)
|
98% |
639
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
643
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2874
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2961
22.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2159
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12890
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7084
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
838
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
400
533.9 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.3 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
70% |
365
6.84 IPS |
