Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
15547
Single Precision Score
24505
Half Precision Score
12709
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6630
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
10624
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
6003
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9129
148.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11400
184.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8501
138.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
85220
99.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
228840
267.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75474
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
7812
619.7 IPS |
|
|
Object Detection (HP)
|
100% |
11982
950.4 IPS |
|
|
Object Detection (Q)
|
84% |
6977
562.8 IPS |
|
|
Face Detection (SP)
|
100% |
17769
211.1 IPS |
|
|
Face Detection (HP)
|
100% |
25641
304.7 IPS |
|
|
Face Detection (Q)
|
97% |
16341
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
41319
318.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75097
578.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
34016
272.1 IPS |
|
|
Style Transfer (SP)
|
100% |
135642
174.4 IPS |
|
|
Style Transfer (HP)
|
100% |
321363
413.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123788
159.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26830
990.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41390
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20779
769.4 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3158
4.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1582
29.7 IPS |
