Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1497
Single Precision Score
718
Half Precision Score
2319
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:40 PM |
| Views | 2 |
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% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
99% |
2393
446.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1331
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2301
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1913
2.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
8693
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
88% |
1113
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
825
9.81 IPS |
|
|
Face Detection (Q)
|
97% |
2729
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2737
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
77% |
4601
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5734
7.37 IPS |
|
|
Style Transfer (HP)
|
100% |
4704
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
11954
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1074
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2221
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
60% |
1307
29.2 IPS |
