Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
7955
Single Precision Score
2721
Half Precision Score
12754
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 11:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
6192
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
1009
187.7 IPS |
|
|
Image Classification (Q)
|
99% |
14183
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4912
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11626
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9074
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
45151
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
6294
499.2 IPS |
|
|
Object Detection (HP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (Q)
|
86% |
14695
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
19037
226.2 IPS |
|
|
Face Detection (HP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
15102
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15896
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3848
29.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
34870
278.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29290
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20408
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42654
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6461
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1270
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2537
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
6696
134.6 IPS |
