Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
13475
Single Precision Score
13404
Half Precision Score
32212
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tntoak |
| Upload Date | January 01 2026 08:50 AM |
| 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-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8610
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8568
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
16561
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9138
148.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8935
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24553
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16291
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
67375
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
8399
666.2 IPS |
|
|
Object Detection (HP)
|
100% |
8476
672.3 IPS |
|
|
Object Detection (Q)
|
88% |
21000
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
23861
283.5 IPS |
|
|
Face Detection (HP)
|
100% |
23737
282.0 IPS |
|
|
Face Detection (Q)
|
100% |
54191
643.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22109
170.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20584
158.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
61399
477.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45994
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46794
60.2 IPS |
|
|
Style Transfer (Q)
|
98% |
169364
218.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10593
391.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10611
391.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31230
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
6277
8.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6286
8.39 KIPS |
|
|
Text Classification (Q)
|
92% |
8668
11.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
11372
195.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11329
195.2 IPS |
|
|
Machine Translation (Q)
|
100% |
13707
236.1 IPS |
