Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
5325
Single Precision Score
1235
Half Precision Score
7273
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3141
584.1 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
99% |
5380
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
4044
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9659
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
32049
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
3625
287.5 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
88% |
3119
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (Q)
|
97% |
6626
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11392
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
13642
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22780
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18265
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34174
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4453
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6490
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
60% |
4166
92.9 IPS |
