Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3891
Single Precision Score
901
Half Precision Score
5757
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | rarp |
| Upload Date | December 21 2024 03:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.48 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.5 IPS |
|
|
Image Classification (Q)
|
97% |
4420
824.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10626
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
34477
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
88% |
2125
170.3 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
97% |
6010
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8213
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
8169
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22365
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16250
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29374
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4067
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
561
748.2 IPS |
|
|
Text Classification (Q)
|
97% |
1543
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4038
90.1 IPS |
