Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2325
Single Precision Score
3540
Half Precision Score
5792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:33 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% |
1464
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.6 IPS |
|
|
Image Classification (Q)
|
99% |
4029
751.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5380
87.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3711
4.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
2793
3.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
11659
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
98% |
2146
170.8 IPS |
|
|
Object Detection (Q)
|
90% |
3957
316.3 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7086
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
10212
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4430
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7617
58.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10845
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9800
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16700
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27010
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3024
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6026
223.2 IPS |
|
|
Text Classification (SP)
|
71% |
986
1.43 KIPS |
|
|
Text Classification (HP)
|
71% |
1204
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1908
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1910
32.9 IPS |
