ASUS System Product Name
Geekbench AI Score
42301
Single Precision Score
56939
Half Precision Score
31091
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 02:58 AM |
| Views | 7 |
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 Z790-A GAMING WIFI D4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15798
2.94 KIPS |
|
|
Image Classification (HP)
|
99% |
20893
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13105
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23674
383.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28533
462.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21762
353.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
371339
433.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
585388
683.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
318478
372.9 IPS |
|
|
Object Detection (SP)
|
100% |
20920
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
26992
2.14 KIPS |
|
|
Object Detection (Q)
|
89% |
16591
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53832
639.6 IPS |
|
|
Face Detection (HP)
|
100% |
64380
765.0 IPS |
|
|
Face Detection (Q)
|
97% |
44921
535.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
105850
815.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
176869
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75700
610.6 IPS |
|
|
Style Transfer (SP)
|
100% |
650042
835.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1214784
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
548829
707.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69420
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91442
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49905
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2537
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5633
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5519
95.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2371
52.9 IPS |
