Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
13104
Single Precision Score
13170
Half Precision Score
31391
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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-P WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8089
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
19569
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8876
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8953
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22887
371.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15900
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16041
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
63622
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
8166
647.7 IPS |
|
|
Object Detection (HP)
|
100% |
8191
649.7 IPS |
|
|
Object Detection (Q)
|
88% |
20591
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
25075
297.9 IPS |
|
|
Face Detection (HP)
|
100% |
24909
296.0 IPS |
|
|
Face Detection (Q)
|
100% |
50592
601.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20724
159.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20659
159.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
58015
451.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45852
58.9 IPS |
|
|
Style Transfer (HP)
|
100% |
46352
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
160393
206.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9880
364.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10004
369.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29447
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
6121
8.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6221
8.30 KIPS |
|
|
Text Classification (Q)
|
92% |
8511
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
11120
191.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11187
192.7 IPS |
|
|
Machine Translation (Q)
|
100% |
13425
231.2 IPS |
