Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3813
Single Precision Score
994
Half Precision Score
4705
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | asknight1 |
| Upload Date | September 30 2024 05:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1834
341.1 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
93% |
3769
704.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
2722
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9695
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6241
7.28 IPS |
|
|
Pose Estimation (Q)
|
87% |
18661
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
86% |
2078
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.26 IPS |
|
|
Face Detection (Q)
|
96% |
5145
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.86 IPS |
|
|
Depth Estimation (Q)
|
77% |
7617
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20368
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16363
21.0 IPS |
|
|
Style Transfer (Q)
|
87% |
20422
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3014
111.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3845
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.0 IPS |
|
|
Text Classification (Q)
|
97% |
1435
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3029
67.6 IPS |
