ASUS System Product Name
Geekbench AI Score
42298
Single Precision Score
56903
Half Precision Score
31131
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 01:11 AM |
| Views | 8 |
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% |
15788
2.94 KIPS |
|
|
Image Classification (HP)
|
99% |
20886
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13105
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23680
383.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28409
460.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21838
355.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
371582
433.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
584442
681.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
318422
372.9 IPS |
|
|
Object Detection (SP)
|
100% |
20902
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
26890
2.13 KIPS |
|
|
Object Detection (Q)
|
89% |
16573
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53789
639.1 IPS |
|
|
Face Detection (HP)
|
100% |
64814
770.1 IPS |
|
|
Face Detection (Q)
|
97% |
44946
535.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
105498
812.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
176056
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75877
612.0 IPS |
|
|
Style Transfer (SP)
|
100% |
648487
833.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1210154
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
548406
707.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69450
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91602
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50085
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2544
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5645
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5529
95.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2376
53.0 IPS |
