Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
13515
Single Precision Score
13818
Half Precision Score
32665
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 10 2025 05:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6353
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
7317
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
16536
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9548
154.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26095
423.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28609
33.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29047
33.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
117076
137.1 IPS |
|
|
Object Detection (SP)
|
100% |
8000
634.6 IPS |
|
|
Object Detection (HP)
|
100% |
8263
655.4 IPS |
|
|
Object Detection (Q)
|
88% |
18756
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
17797
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
17956
213.4 IPS |
|
|
Face Detection (Q)
|
100% |
51855
616.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22500
173.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22948
176.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
64542
502.3 IPS |
|
|
Style Transfer (SP)
|
100% |
73811
94.9 IPS |
|
|
Style Transfer (HP)
|
100% |
76672
98.6 IPS |
|
|
Style Transfer (Q)
|
98% |
276432
356.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14166
523.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14143
522.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37163
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4447
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5140
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
7870
135.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7922
136.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8261
142.3 IPS |
