Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
8005
Single Precision Score
3085
Half Precision Score
12344
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | opsifant |
| Upload Date | January 22 2025 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR WIFI (MS-7D76) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7587
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
99% |
14253
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5119
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13520
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
46863
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6987
554.2 IPS |
|
|
Object Detection (HP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (Q)
|
86% |
14506
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
10930
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
14729
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18185
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4250
32.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
28386
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33636
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25465
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34986
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7143
264.5 IPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2786
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4287
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5693
114.4 IPS |
