Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
33813
Single Precision Score
45483
Half Precision Score
29226
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 11:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-A WIFI (MS-7D75) |
| 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% |
16240
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18326
3.41 KIPS |
|
|
Image Classification (Q)
|
99% |
15020
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16408
266.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18961
307.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20748
337.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
211699
247.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
602022
702.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
187871
220.1 IPS |
|
|
Object Detection (SP)
|
100% |
17250
1.37 KIPS |
|
|
Object Detection (HP)
|
99% |
20304
1.61 KIPS |
|
|
Object Detection (Q)
|
87% |
16094
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
47392
563.1 IPS |
|
|
Face Detection (HP)
|
100% |
53047
630.3 IPS |
|
|
Face Detection (Q)
|
97% |
43316
516.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85991
662.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
126534
974.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
71546
573.4 IPS |
|
|
Style Transfer (SP)
|
100% |
387713
498.4 IPS |
|
|
Style Transfer (HP)
|
100% |
682014
876.7 IPS |
|
|
Style Transfer (Q)
|
98% |
355946
459.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51733
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86152
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43086
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2933
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5477
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5573
96.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3462
64.9 IPS |
