Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2626
Single Precision Score
1206
Half Precision Score
3254
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 03:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| 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 | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
96% |
3645
680.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
1627
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3971
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3460
4.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
8899
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
58% |
2223
242.9 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
6388
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5198
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1739
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8115
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10094
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8581
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
11739
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2394
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
1173
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
621
828.8 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2191
42.3 IPS |
