Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
2724
Single Precision Score
2734
Half Precision Score
1617
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Nickayz |
| Upload Date | December 17 2024 12:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (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 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.17 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
99% |
1006
187.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
3153
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (Q)
|
85% |
1005
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
2711
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3138
24.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1937
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3339
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3327
4.28 IPS |
|
|
Style Transfer (Q)
|
98% |
5767
7.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1680
62.2 IPS |
|
|
Text Classification (SP)
|
100% |
2503
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (Q)
|
58% |
761
17.9 IPS |
