Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
4310
Single Precision Score
4410
Half Precision Score
11246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 10 2025 06:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
2471
459.5 IPS |
|
|
Image Classification (HP)
|
100% |
2702
502.4 IPS |
|
|
Image Classification (Q)
|
100% |
6935
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7281
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5103
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5075
5.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
21622
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2546
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (Q)
|
88% |
7839
628.4 IPS |
|
|
Face Detection (SP)
|
100% |
6420
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
6557
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
19257
228.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6815
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6936
53.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20638
160.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14369
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14936
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56864
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3335
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11267
417.3 IPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
4220
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3519
60.6 IPS |
