Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
2361
Single Precision Score
2260
Half Precision Score
2158
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 20 2025 06:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (Q)
|
99% |
1462
272.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1371
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3564
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
5025
5.89 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (Q)
|
85% |
1868
150.4 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2673
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
3231
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2817
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2596
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2707
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3300
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3199
4.11 IPS |
|
|
Style Transfer (Q)
|
98% |
8018
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1671
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2452
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
875
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (Q)
|
58% |
774
18.2 IPS |
