Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
23425
Single Precision Score
35014
Half Precision Score
20124
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 06:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11661
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
15045
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
11356
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9725
157.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11515
186.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12003
195.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
134309
156.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
413851
482.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
117339
137.4 IPS |
|
|
Object Detection (SP)
|
100% |
10462
829.9 IPS |
|
|
Object Detection (HP)
|
99% |
15256
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
9712
780.0 IPS |
|
|
Face Detection (SP)
|
100% |
27728
329.5 IPS |
|
|
Face Detection (HP)
|
100% |
35913
426.7 IPS |
|
|
Face Detection (Q)
|
97% |
24544
292.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67391
519.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97382
750.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55637
446.2 IPS |
|
|
Style Transfer (SP)
|
100% |
242954
312.3 IPS |
|
|
Style Transfer (HP)
|
100% |
477326
613.6 IPS |
|
|
Style Transfer (Q)
|
98% |
206411
266.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39036
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71326
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32671
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4128
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4831
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2993
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2545
47.7 IPS |
