Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
639
Single Precision Score
650
Half Precision Score
1276
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 26 2025 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (Q)
|
99% |
3351
625.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3480
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
972
1.13 IPS |
|
|
Pose Estimation (Q)
|
97% |
3386
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
98% |
405
32.3 IPS |
|
|
Object Detection (Q)
|
90% |
384
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
100% |
1353
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
846
6.52 IPS |
|
|
Depth Estimation (HP)
|
98% |
1015
7.85 IPS |
|
|
Depth Estimation (Q)
|
89% |
1759
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1519
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3649
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
11874
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
912
33.8 IPS |
|
|
Text Classification (SP)
|
71% |
726
1.05 KIPS |
|
|
Text Classification (HP)
|
71% |
132
190.3 IPS |
|
|
Text Classification (Q)
|
92% |
286
384.3 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
98% |
88
1.53 IPS |
|
|
Machine Translation (Q)
|
100% |
103
1.77 IPS |
