Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
3905
Single Precision Score
4655
Half Precision Score
6076
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Rikzzz87 |
| Upload Date | September 08 2024 03:40 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE WIFI (MS-7D31) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.0 IPS |
|
|
Image Classification (Q)
|
100% |
2530
470.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3788
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5558
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
11050
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
2978
236.2 IPS |
|
|
Object Detection (Q)
|
87% |
2883
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
5667
67.3 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
97% |
13982
166.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7784
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7801
60.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
12936
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15517
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18144
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24374
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2193
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3341
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7392
273.8 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
91% |
1626
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4243
73.1 IPS |
