Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
5431
Single Precision Score
1850
Half Precision Score
9027
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | December 28 2024 03:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4224
785.5 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
8874
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3987
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14802
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
44821
52.6 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
10284
826.5 IPS |
|
|
Face Detection (SP)
|
100% |
8105
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
12574
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13982
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2844
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
21189
169.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28414
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24347
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42651
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2504
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3570
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.3 IPS |
|
|
Text Classification (Q)
|
97% |
1441
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3772
75.8 IPS |
