ASUS System Product Name
Geekbench AI Score
9146
Single Precision Score
9340
Half Precision Score
22272
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5233
973.2 IPS |
|
|
Image Classification (HP)
|
100% |
5275
980.9 IPS |
|
|
Image Classification (Q)
|
100% |
13236
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6870
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7166
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19869
322.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14672
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15059
17.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
59491
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
5504
436.5 IPS |
|
|
Object Detection (HP)
|
100% |
5920
469.5 IPS |
|
|
Object Detection (Q)
|
88% |
13844
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
13719
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
14271
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
34742
412.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15740
121.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16239
125.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
45044
350.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39793
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39429
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
144505
186.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8052
297.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8102
299.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22978
851.0 IPS |
|
|
Text Classification (SP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4156
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5691
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6421
110.6 IPS |
