Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1829
Single Precision Score
509
Half Precision Score
2800
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 14 2024 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
99% |
3123
582.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
1789
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
11180
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
88% |
1276
102.3 IPS |
|
|
Face Detection (SP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
3083
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3385
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.70 IPS |
|
|
Depth Estimation (Q)
|
76% |
5394
43.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6800
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
5422
6.97 IPS |
|
|
Style Transfer (Q)
|
98% |
14090
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.5 IPS |
|
|
Text Classification (SP)
|
100% |
1175
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.0 IPS |
|
|
Text Classification (Q)
|
97% |
394
527.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
60% |
1516
33.8 IPS |
