ASUS System Product Name
Geekbench AI Score
9613
Single Precision Score
9637
Half Precision Score
23075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 03:30 PM |
| Views | 2 |
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 X870E-E GAMING WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5338
992.7 IPS |
|
|
Image Classification (HP)
|
100% |
5229
972.4 IPS |
|
|
Image Classification (Q)
|
100% |
13598
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7009
113.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7328
118.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20308
329.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16360
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16277
19.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
64303
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
6066
481.1 IPS |
|
|
Object Detection (HP)
|
100% |
5818
461.5 IPS |
|
|
Object Detection (Q)
|
88% |
14700
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
14050
166.9 IPS |
|
|
Face Detection (HP)
|
100% |
14051
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
36470
433.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16826
129.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17206
132.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
46860
364.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41721
53.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41984
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
152215
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8425
311.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8477
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23879
884.3 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4226
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5910
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6248
107.6 IPS |
