Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
2707
Single Precision Score
1280
Half Precision Score
5847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DnAzDaDi |
| Upload Date | June 03 2025 08:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
99% |
6197
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3086
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3537
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
15265
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (Q)
|
86% |
5167
415.3 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7693
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4680
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1835
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11822
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9581
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8273
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20386
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3015
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.0 IPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3432
69.0 IPS |
