Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2071
Single Precision Score
1983
Half Precision Score
4664
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:34 PM |
| 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 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% |
1603
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
100% |
4405
819.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3004
3.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
11477
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.4 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
88% |
2088
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
7408
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2559
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
7928
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6159
7.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6646
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
22449
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3996
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1686
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1311
22.6 IPS |
