Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1493
Single Precision Score
1535
Half Precision Score
1022
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 05:10 PM |
| Views | 4 |
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% |
656
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
100% |
570
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
677
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4177
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
2993
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (HP)
|
98% |
615
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
604
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1100
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2710
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2912
22.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2018
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9123
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12464
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7025
9.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
842
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.4 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
70% |
345
6.47 IPS |
