Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1472
Single Precision Score
1503
Half Precision Score
999
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 11 2026 10:48 PM |
| Views | 5 |
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% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
100% |
557
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
688
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4401
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4729
5.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
2963
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
98% |
594
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
579
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1039
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2659
20.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2923
22.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1964
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9300
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12393
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
6825
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2190
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
431
574.6 IPS |
|
|
Text Classification (Q)
|
97% |
385
516.4 IPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
70% |
343
6.42 IPS |
