Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3883
Single Precision Score
3905
Half Precision Score
2470
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 10:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| 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 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.58 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3047
566.6 IPS |
|
|
Image Classification (HP)
|
100% |
3065
570.1 IPS |
|
|
Image Classification (Q)
|
99% |
1895
353.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3879
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3907
63.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1624
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4018
4.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
5022
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (Q)
|
85% |
1669
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
5296
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
97% |
3894
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4405
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4376
33.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3189
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4655
5.98 IPS |
|
|
Style Transfer (HP)
|
100% |
4702
6.04 IPS |
|
|
Style Transfer (Q)
|
98% |
8606
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3348
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3360
124.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2541
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1225
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5425
93.4 IPS |
|
|
Machine Translation (Q)
|
58% |
986
23.1 IPS |
