ASUS System Product Name
Geekbench AI Score
38019
Single Precision Score
52486
Half Precision Score
27933
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | October 04 2024 04:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13795
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
18462
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11508
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22713
368.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28532
462.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21620
351.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
313996
366.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
532595
621.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
272537
319.1 IPS |
|
|
Object Detection (SP)
|
100% |
19152
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
25073
1.99 KIPS |
|
|
Object Detection (Q)
|
89% |
15178
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
51059
606.7 IPS |
|
|
Face Detection (HP)
|
100% |
62935
747.8 IPS |
|
|
Face Detection (Q)
|
97% |
41671
496.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
91611
705.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
156365
1.20 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65959
532.0 IPS |
|
|
Style Transfer (SP)
|
100% |
569480
732.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1105158
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
481946
621.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60866
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80871
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43931
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5350
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5303
91.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2179
48.6 IPS |
