Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7601
Single Precision Score
2917
Half Precision Score
14317
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | shivamx96 |
| Upload Date | August 30 2025 08:06 PM |
| Views | 6 |
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) |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5681
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
1040
193.5 IPS |
|
|
Image Classification (Q)
|
99% |
14009
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17398
282.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11643
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9113
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
46239
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6554
519.9 IPS |
|
|
Object Detection (HP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (Q)
|
86% |
13788
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
16667
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
15347
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14552
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4040
31.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
35128
280.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27722
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21427
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
42907
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3960
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7027
260.2 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2458
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5231
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5829
117.1 IPS |
