Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4363
Single Precision Score
973
Half Precision Score
5637
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 05 2024 01:49 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
4529
844.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
3240
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
29114
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2996
237.6 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (Q)
|
88% |
2643
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
5569
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
97% |
5993
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10089
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1135
8.75 IPS |
|
|
Depth Estimation (Q)
|
76% |
12532
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20105
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12359
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31191
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3563
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2463
90.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5761
213.3 IPS |
|
|
Text Classification (SP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
724
969.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2940
65.6 IPS |
