ASUS System Product Name
Geekbench AI Score
35455
Single Precision Score
52946
Half Precision Score
26730
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | NeilB |
| Upload Date | March 03 2025 01:17 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13911
2.59 KIPS |
|
|
Image Classification (HP)
|
99% |
20292
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
11695
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22815
369.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29888
484.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21561
350.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
263285
307.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
527585
615.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
234459
274.6 IPS |
|
|
Object Detection (SP)
|
100% |
17430
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
25807
2.05 KIPS |
|
|
Object Detection (Q)
|
89% |
15119
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
47370
562.9 IPS |
|
|
Face Detection (HP)
|
100% |
61041
725.3 IPS |
|
|
Face Detection (Q)
|
97% |
39419
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
78280
603.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
147293
1.13 KIPS |
|
|
Depth Estimation (Q)
|
70% |
57715
483.4 IPS |
|
|
Style Transfer (SP)
|
100% |
406438
522.5 IPS |
|
|
Style Transfer (HP)
|
100% |
943571
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
356008
459.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58479
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80366
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43873
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4189
5.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5305
7.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5797
99.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2375
53.0 IPS |
