AMD Ryzen 5 7500F @ 3.70 GHz 1 Processor, 6 Cores, 12 Threads Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
5623
Single Precision Score
5504
Half Precision Score
15546
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mahmoodisaeed |
| Upload Date | March 24 2026 04:33 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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% |
3443
640.3 IPS |
|
|
Image Classification (HP)
|
100% |
3515
653.6 IPS |
|
|
Image Classification (Q)
|
100% |
9981
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3899
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10619
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6327
7.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
24562
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
3379
268.0 IPS |
|
|
Object Detection (Q)
|
88% |
10257
822.2 IPS |
|
|
Face Detection (SP)
|
100% |
9013
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
8781
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
25647
304.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8482
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8488
65.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26160
203.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17570
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66468
85.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13406
496.5 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5788
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5836
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6029
103.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8926
153.7 IPS |
