Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
5932
Single Precision Score
2518
Half Precision Score
11941
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7392
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
1117
207.7 IPS |
|
|
Image Classification (Q)
|
99% |
13851
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12347
200.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8722
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7407
8.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
33472
39.2 IPS |
|
|
Object Detection (SP)
|
100% |
4365
346.2 IPS |
|
|
Object Detection (HP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (Q)
|
86% |
11377
914.4 IPS |
|
|
Face Detection (SP)
|
100% |
9034
107.3 IPS |
|
|
Face Detection (HP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
12458
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11334
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3218
24.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
24534
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20425
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16839
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34052
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7641
282.9 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2048
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5559
111.7 IPS |
