Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
2939
Single Precision Score
2954
Half Precision Score
1728
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 21 2025 04:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1909
355.0 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
99% |
1099
204.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1140
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3250
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3256
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
3355
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.2 IPS |
|
|
Object Detection (HP)
|
100% |
1894
150.3 IPS |
|
|
Object Detection (Q)
|
85% |
1106
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (Q)
|
97% |
2873
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3520
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2059
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4049
5.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4069
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
6284
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1782
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (Q)
|
58% |
799
18.8 IPS |
