Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3878
Single Precision Score
999
Half Precision Score
5801
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | rarp |
| Upload Date | November 06 2024 03:13 PM |
| Views | 5 |
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% |
1639
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
97% |
4423
825.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10638
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6089
7.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
34245
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
2121
170.0 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
469
5.58 IPS |
|
|
Face Detection (Q)
|
97% |
6021
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
77% |
8193
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22141
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16380
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29461
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4168
154.3 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (Q)
|
97% |
1546
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
4198
93.6 IPS |
