Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1541
Single Precision Score
1581
Half Precision Score
1048
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 25 2025 03:19 PM |
| Views | 1 |
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% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (Q)
|
100% |
561
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4643
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5095
5.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3205
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
98% |
621
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
619
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1110
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2782
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3075
23.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2067
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9791
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13076
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7266
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
857
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
442
590.0 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.4 IPS |
|
|
Machine Translation (SP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
355
6.66 IPS |
