ASUS System Product Name
Geekbench AI Score
42077
Single Precision Score
56502
Half Precision Score
30989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 02:49 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% |
15625
2.91 KIPS |
|
|
Image Classification (HP)
|
99% |
20631
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
12988
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23638
383.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28288
458.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21743
353.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
370865
432.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
584135
681.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
317717
372.0 IPS |
|
|
Object Detection (SP)
|
100% |
20735
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
26685
2.12 KIPS |
|
|
Object Detection (Q)
|
89% |
16461
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
53581
636.7 IPS |
|
|
Face Detection (HP)
|
100% |
64336
764.4 IPS |
|
|
Face Detection (Q)
|
97% |
44734
533.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
105228
810.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
171610
1.32 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75634
610.1 IPS |
|
|
Style Transfer (SP)
|
100% |
646632
831.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1209457
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
547094
705.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69125
2.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91446
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50038
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2530
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5615
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5524
95.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2360
52.6 IPS |
