ASUS System Product Name
Geekbench AI Score
37714
Single Precision Score
51953
Half Precision Score
27863
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Aaronage |
| Upload Date | September 06 2024 04:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
13325
2.48 KIPS |
|
|
Image Classification (HP)
|
99% |
17551
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
11181
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22832
370.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28421
460.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21905
356.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
311585
363.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
532436
621.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
270551
316.8 IPS |
|
|
Object Detection (SP)
|
100% |
19240
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
25334
2.01 KIPS |
|
|
Object Detection (Q)
|
89% |
15245
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
50919
605.0 IPS |
|
|
Face Detection (HP)
|
100% |
62124
738.2 IPS |
|
|
Face Detection (Q)
|
97% |
42025
501.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92234
710.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
157052
1.21 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65168
525.6 IPS |
|
|
Style Transfer (SP)
|
100% |
569852
732.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1119940
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
484167
624.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61791
2.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82616
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44548
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4389
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2199
49.1 IPS |
