Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1574
Single Precision Score
1594
Half Precision Score
1082
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 12 2026 12:20 AM |
| Views | 6 |
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 | Paragon Perf V4 Power Plan |
| 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
126.0 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
742
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4669
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5156
6.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
3199
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (HP)
|
98% |
640
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
645
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1157
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2907
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3135
24.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2163
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9917
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13348
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7450
9.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
876
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
406
542.2 IPS |
|
|
Text Classification (Q)
|
97% |
409
548.5 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
70% |
363
6.81 IPS |
