Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2373
Single Precision Score
3419
Half Precision Score
5272
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 08 2026 12:05 AM |
| Views | 10 |
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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2300
427.6 IPS |
|
|
Image Classification (Q)
|
99% |
3551
662.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3455
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4013
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (HP)
|
99% |
2787
3.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
10970
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
98% |
1973
157.0 IPS |
|
|
Object Detection (Q)
|
90% |
3649
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
4285
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
6899
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
8780
104.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4422
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7490
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10089
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10183
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14141
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26590
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5872
217.5 IPS |
|
|
Text Classification (SP)
|
71% |
946
1.37 KIPS |
|
|
Text Classification (HP)
|
71% |
1324
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1168
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1803
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1800
31.0 IPS |
