Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4395
Single Precision Score
1823
Half Precision Score
5683
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Damnboy |
| Upload Date | September 06 2024 11:37 AM |
| 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% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
99% |
4616
861.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3557
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8440
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
29354
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
2953
234.2 IPS |
|
|
Object Detection (HP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (Q)
|
88% |
2574
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
6081
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9612
74.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2418
18.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
11632
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20015
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12372
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33130
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5816
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
707
947.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2943
65.6 IPS |
