Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
6367
Single Precision Score
2433
Half Precision Score
12043
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | tntoak |
| Upload Date | January 01 2026 08:48 AM |
| Views | 3 |
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. 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% |
5836
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
99% |
12033
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13055
212.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9534
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8174
9.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
34677
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4843
384.1 IPS |
|
|
Object Detection (HP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
86% |
11094
891.6 IPS |
|
|
Face Detection (SP)
|
100% |
12616
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
13678
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12350
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3220
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
26526
211.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23140
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17946
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37001
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7049
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4646
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5155
103.6 IPS |
