Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2336
Single Precision Score
3322
Half Precision Score
5173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.7 IPS |
|
|
Image Classification (Q)
|
99% |
3522
656.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3459
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3978
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3883
4.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
2844
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
11710
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.4 IPS |
|
|
Object Detection (HP)
|
98% |
2057
163.6 IPS |
|
|
Object Detection (Q)
|
90% |
3768
301.2 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
6897
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
8771
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4433
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7724
59.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10178
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10123
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15735
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26289
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2981
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
224.2 IPS |
|
|
Text Classification (SP)
|
71% |
943
1.36 KIPS |
|
|
Text Classification (HP)
|
71% |
1058
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1192
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1296
22.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1312
22.6 IPS |
