Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
3260
Single Precision Score
3292
Half Precision Score
2785
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Chae2y |
| Upload Date | September 09 2025 09:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.1 IPS |
|
|
Image Classification (Q)
|
99% |
2095
390.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3575
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1699
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4717
5.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
7073
8.29 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (Q)
|
85% |
2443
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
4227
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3569
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3577
27.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3466
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4872
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
4890
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10217
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2924
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4234
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (Q)
|
58% |
941
22.1 IPS |
