Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
28685
Single Precision Score
38661
Half Precision Score
23986
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:50 PM |
| Views | 7 |
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-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12329
2.29 KIPS |
|
|
Image Classification (HP)
|
100% |
13949
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
11523
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15626
253.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17072
276.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17919
291.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
195155
227.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
534082
623.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
173684
203.4 IPS |
|
|
Object Detection (SP)
|
100% |
12148
963.6 IPS |
|
|
Object Detection (HP)
|
99% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
11104
891.8 IPS |
|
|
Face Detection (SP)
|
100% |
38871
461.9 IPS |
|
|
Face Detection (HP)
|
100% |
44258
525.9 IPS |
|
|
Face Detection (Q)
|
97% |
34625
412.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
75634
582.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107753
830.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
60827
487.5 IPS |
|
|
Style Transfer (SP)
|
100% |
359690
462.4 IPS |
|
|
Style Transfer (HP)
|
100% |
606520
779.7 IPS |
|
|
Style Transfer (Q)
|
98% |
323498
417.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42941
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65228
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34111
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2875
53.9 IPS |
