Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
3786
Single Precision Score
3801
Half Precision Score
2444
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Nickayz |
| Upload Date | September 08 2025 02:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 | 62.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.5 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.3 IPS |
|
|
Image Classification (Q)
|
99% |
1895
353.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3822
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1600
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3940
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3937
4.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
5005
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (Q)
|
85% |
1656
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
5207
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (Q)
|
97% |
3857
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4242
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4257
32.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3147
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4300
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4304
5.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8366
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3298
121.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2527
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1197
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5093
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (Q)
|
58% |
989
23.2 IPS |
