Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
4180
Single Precision Score
4202
Half Precision Score
2382
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | kana |
| Upload Date | April 26 2025 11:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.27 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (HP)
|
100% |
3006
558.9 IPS |
|
|
Image Classification (Q)
|
99% |
1800
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3972
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1537
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4542
5.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
5022
5.88 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (Q)
|
85% |
1607
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
7083
84.2 IPS |
|
|
Face Detection (Q)
|
97% |
3721
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5208
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5270
40.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3096
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4760
6.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4794
6.16 IPS |
|
|
Style Transfer (Q)
|
98% |
8723
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3308
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3299
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2450
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6433
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6407
110.4 IPS |
|
|
Machine Translation (Q)
|
58% |
944
22.2 IPS |
