ASUS System Product Name
Geekbench AI Score
38494
Single Precision Score
51854
Half Precision Score
28154
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:01 PM |
| Views | 17 |
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 MAXIMUS Z790 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13697
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
17662
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
11270
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22700
368.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27569
446.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20792
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
332975
388.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
543539
634.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
285488
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
18552
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
23654
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
15584
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
49143
583.9 IPS |
|
|
Face Detection (HP)
|
100% |
57771
686.4 IPS |
|
|
Face Detection (Q)
|
97% |
41096
490.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
95281
734.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
158874
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69312
559.5 IPS |
|
|
Style Transfer (SP)
|
100% |
588742
756.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1089342
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
496736
640.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63060
2.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84379
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45692
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
4106
5.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5211
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2302
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5211
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2017
45.0 IPS |
