Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
4001
Single Precision Score
1726
Half Precision Score
9530
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| 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 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
99% |
9915
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10466
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5047
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
27052
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2923
231.9 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.1 IPS |
|
|
Object Detection (Q)
|
86% |
9481
761.9 IPS |
|
|
Face Detection (SP)
|
100% |
6101
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
11626
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7932
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2577
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18710
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15064
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10855
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26351
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2165
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5624
208.2 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2626
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4044
81.3 IPS |
