Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
27229
Single Precision Score
42120
Half Precision Score
16006
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 20 2025 11:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
10565
1.96 KIPS |
|
|
Image Classification (HP)
|
99% |
15193
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
6971
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19593
317.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
29380
476.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13710
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
162742
189.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
367536
428.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
125478
147.0 IPS |
|
|
Object Detection (SP)
|
100% |
13883
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
20185
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
9263
745.2 IPS |
|
|
Face Detection (SP)
|
100% |
37808
449.2 IPS |
|
|
Face Detection (HP)
|
100% |
56457
670.8 IPS |
|
|
Face Detection (Q)
|
97% |
23639
281.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64450
496.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110849
854.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
38567
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
287020
369.0 IPS |
|
|
Style Transfer (HP)
|
100% |
684360
879.8 IPS |
|
|
Style Transfer (Q)
|
98% |
197170
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41474
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59604
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22729
841.6 IPS |
|
|
Text Classification (SP)
|
100% |
3143
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1651
31.0 IPS |
