Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
3835
Single Precision Score
1538
Half Precision Score
7432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 17 2025 10:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3569
663.7 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (Q)
|
99% |
8228
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3355
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4574
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3834
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20681
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
6836
549.4 IPS |
|
|
Face Detection (SP)
|
100% |
8343
99.1 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10913
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8451
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1993
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16021
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11193
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9870
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27633
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4206
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.0 IPS |
|
|
Text Classification (Q)
|
97% |
1779
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3647
73.3 IPS |
