Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2027
Single Precision Score
550
Half Precision Score
3004
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 17 2024 07:40 PM |
| Views | 5 |
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
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
2888
538.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1804
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3156
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2558
2.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
12401
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
88% |
1495
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
3464
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3830
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
6216
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7485
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
6510
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
15303
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2820
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.7 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
60% |
1657
37.0 IPS |
