Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
13692
Single Precision Score
13698
Half Precision Score
33653
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SgtBauerFR |
| Upload Date | April 01 2025 08:01 PM |
| Views | 3 |
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-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | Atlas Power Scheme |
| 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% |
8611
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8559
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
21237
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9217
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9089
147.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25052
406.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
63473
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
9072
719.6 IPS |
|
|
Object Detection (HP)
|
100% |
9070
719.4 IPS |
|
|
Object Detection (Q)
|
88% |
22908
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
25403
301.8 IPS |
|
|
Face Detection (HP)
|
100% |
27483
326.6 IPS |
|
|
Face Detection (Q)
|
100% |
55567
660.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23338
179.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21416
165.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
60750
472.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45255
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44976
57.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174519
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10008
369.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10021
370.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32094
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6612
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6608
8.82 KIPS |
|
|
Text Classification (Q)
|
92% |
8930
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11533
198.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11407
196.5 IPS |
|
|
Machine Translation (Q)
|
100% |
14268
245.8 IPS |
