Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3326
Single Precision Score
1490
Half Precision Score
4826
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lovetitanus |
| Upload Date | January 13 2025 12:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| 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 (MS-7C95) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3264
607.0 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
96% |
5327
994.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3859
4.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
10795
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
58% |
3505
383.0 IPS |
|
|
Face Detection (SP)
|
100% |
4406
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
8231
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6960
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9491
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13260
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11762
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13849
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2850
105.6 IPS |
|
|
Text Classification (SP)
|
100% |
1464
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3111
60.1 IPS |
