Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
2740
Single Precision Score
2768
Half Precision Score
1517
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Nickayz |
| Upload Date | April 13 2025 08:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X3D 6-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 5 7600X3D 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (Q)
|
99% |
1002
186.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3365
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
2805
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (Q)
|
85% |
1033
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
4184
49.7 IPS |
|
|
Face Detection (Q)
|
97% |
2410
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3348
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3424
26.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1877
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4101
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
4151
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5569
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3978
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4002
68.9 IPS |
|
|
Machine Translation (Q)
|
58% |
721
16.9 IPS |
