Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
22501
Single Precision Score
41092
Half Precision Score
17595
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
9734
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
17098
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8902
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14450
234.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20289
328.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13670
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
122073
142.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
382791
446.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
114438
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
11783
934.7 IPS |
|
|
Object Detection (HP)
|
100% |
20899
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
10115
817.2 IPS |
|
|
Face Detection (SP)
|
100% |
28515
338.8 IPS |
|
|
Face Detection (HP)
|
100% |
45618
542.0 IPS |
|
|
Face Detection (Q)
|
97% |
24881
296.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54990
423.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113201
872.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
44300
353.6 IPS |
|
|
Style Transfer (SP)
|
100% |
173967
223.6 IPS |
|
|
Style Transfer (HP)
|
100% |
592915
762.2 IPS |
|
|
Style Transfer (Q)
|
98% |
150308
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34591
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67459
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26226
971.1 IPS |
|
|
Text Classification (SP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4992
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4798
82.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1943
36.4 IPS |
