ASUS System Product Name
Geekbench AI Score
41762
Single Precision Score
56434
Half Precision Score
30744
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 01:59 AM |
| Views | 3 |
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% |
15596
2.90 KIPS |
|
|
Image Classification (HP)
|
99% |
20641
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12948
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23472
380.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28398
460.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21523
350.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
366016
427.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
581531
678.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
313602
367.2 IPS |
|
|
Object Detection (SP)
|
100% |
20595
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
26668
2.12 KIPS |
|
|
Object Detection (Q)
|
89% |
16330
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
53292
633.2 IPS |
|
|
Face Detection (HP)
|
100% |
64096
761.6 IPS |
|
|
Face Detection (Q)
|
97% |
44585
531.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
104455
804.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
174830
1.35 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75029
605.2 IPS |
|
|
Style Transfer (SP)
|
100% |
638512
820.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1200535
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
540437
696.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68431
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90294
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49453
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4302
5.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2511
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5589
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5499
94.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2355
52.5 IPS |
