ASUS System Product Name
Geekbench AI Score
42317
Single Precision Score
56926
Half Precision Score
31134
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 03:02 AM |
| Views | 15 |
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% |
15859
2.95 KIPS |
|
|
Image Classification (HP)
|
99% |
20963
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
13155
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23840
386.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28508
462.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21957
357.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
371339
433.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
585869
683.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
318473
372.9 IPS |
|
|
Object Detection (SP)
|
100% |
20861
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26970
2.14 KIPS |
|
|
Object Detection (Q)
|
89% |
16554
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53935
640.9 IPS |
|
|
Face Detection (HP)
|
100% |
64365
764.8 IPS |
|
|
Face Detection (Q)
|
97% |
45010
536.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
105819
815.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
176957
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75716
610.7 IPS |
|
|
Style Transfer (SP)
|
100% |
648865
834.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1208086
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
547933
706.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69371
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91165
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50005
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (HP)
|
99% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2540
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5545
95.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2370
52.9 IPS |
