ASUS System Product Name
Geekbench AI Score
39658
Single Precision Score
54334
Half Precision Score
29078
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | AhmaadACM |
| Upload Date | October 18 2024 09:52 AM |
| Views | 14 |
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 | GameTurbo (High Performance) |
| 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% |
14404
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
19067
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11907
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23341
378.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28989
469.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22174
360.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
334886
390.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
548837
640.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
286145
335.1 IPS |
|
|
Object Detection (SP)
|
100% |
19884
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
25991
2.06 KIPS |
|
|
Object Detection (Q)
|
89% |
15778
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
52431
623.0 IPS |
|
|
Face Detection (HP)
|
100% |
64020
760.7 IPS |
|
|
Face Detection (Q)
|
97% |
43396
517.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
95977
739.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
164431
1.27 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68932
556.0 IPS |
|
|
Style Transfer (SP)
|
100% |
604559
777.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1170019
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
505603
652.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64522
2.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86717
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46321
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2343
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5342
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2209
49.3 IPS |
