Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
4869
Single Precision Score
1815
Half Precision Score
9030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 28 2025 02:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR (MS-7D76) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3650
678.8 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
9378
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3986
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9350
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7564
8.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
33700
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (HP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (Q)
|
86% |
9951
799.8 IPS |
|
|
Face Detection (SP)
|
100% |
8895
105.7 IPS |
|
|
Face Detection (HP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
13062
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11781
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2628
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
21031
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19834
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20356
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39532
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4313
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1618
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3796
76.3 IPS |
