Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
6587
Single Precision Score
2712
Half Precision Score
12962
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 01:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5018
933.1 IPS |
|
|
Image Classification (HP)
|
100% |
939
174.6 IPS |
|
|
Image Classification (Q)
|
99% |
12340
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19656
319.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18665
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13651
15.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
72417
84.9 IPS |
|
|
Object Detection (SP)
|
100% |
4925
390.7 IPS |
|
|
Object Detection (HP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
86% |
12846
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
10007
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
2386
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
15983
190.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16208
124.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4082
31.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
31244
249.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34270
44.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30237
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47138
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3584
132.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4089
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4042
81.2 IPS |
