Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
7809
Single Precision Score
3025
Half Precision Score
13792
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 07 2025 10:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5786
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
99% |
13270
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20287
329.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27071
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16593
19.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
82015
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
5916
469.3 IPS |
|
|
Object Detection (HP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
86% |
15176
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
10925
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
2539
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
15816
188.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20456
157.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4409
34.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
35921
286.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43106
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35524
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53028
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2675
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1917
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4812
96.7 IPS |
