ASUS System Product Name
Geekbench AI Score
14386
Single Precision Score
14249
Half Precision Score
33939
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mfurse |
| Upload Date | April 05 2025 10:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR 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% |
7042
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
6877
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
18810
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9958
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9397
152.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21494
348.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30347
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30733
35.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
123217
144.3 IPS |
|
|
Object Detection (SP)
|
100% |
8377
664.4 IPS |
|
|
Object Detection (HP)
|
100% |
8604
682.5 IPS |
|
|
Object Detection (Q)
|
88% |
20683
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
20702
246.0 IPS |
|
|
Face Detection (HP)
|
100% |
18938
225.0 IPS |
|
|
Face Detection (Q)
|
100% |
50458
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23670
182.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22700
174.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
69806
543.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79493
102.2 IPS |
|
|
Style Transfer (HP)
|
100% |
79892
102.7 IPS |
|
|
Style Transfer (Q)
|
98% |
285324
367.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13907
513.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14647
540.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38943
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4565
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4602
6.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5676
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
8614
148.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8722
150.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8860
152.6 IPS |
