Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
4379
Single Precision Score
1897
Half Precision Score
7168
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 08 2025 05:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-VC WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3137
583.4 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.7 IPS |
|
|
Image Classification (Q)
|
99% |
9389
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2924
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5928
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
26859
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3856
305.9 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (Q)
|
86% |
6273
504.2 IPS |
|
|
Face Detection (SP)
|
100% |
6917
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
12274
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8866
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2747
21.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19894
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14993
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14276
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32317
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4626
171.3 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
478
640.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4441
89.2 IPS |
