ASUS System Product Name
Geekbench AI Score
7060
Single Precision Score
2541
Half Precision Score
12508
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | March 26 2025 01:01 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5100
948.4 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
12639
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5470
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11841
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65716
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
4901
388.8 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.3 IPS |
|
|
Object Detection (Q)
|
86% |
14380
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
9984
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
14806
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15614
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3698
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
28310
225.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42718
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28618
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48561
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6019
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1866
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
6276
126.1 IPS |
