Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
8008
Single Precision Score
2989
Half Precision Score
14540
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7084
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
1118
208.0 IPS |
|
|
Image Classification (Q)
|
99% |
14728
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17201
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12451
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9488
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
46988
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
6370
505.3 IPS |
|
|
Object Detection (HP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (Q)
|
86% |
14713
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
18059
214.6 IPS |
|
|
Face Detection (HP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (Q)
|
97% |
15388
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16792
129.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4146
31.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
36517
291.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29910
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20667
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41327
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4405
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6978
258.4 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1541
26.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5925
119.1 IPS |
