ASUS System Product Name
Geekbench AI Score
41895
Single Precision Score
56392
Half Precision Score
30833
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 02:01 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% |
15582
2.90 KIPS |
|
|
Image Classification (HP)
|
99% |
20573
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
12932
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23617
382.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28444
461.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21789
354.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
368196
429.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
581579
678.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
315872
369.9 IPS |
|
|
Object Detection (SP)
|
100% |
20622
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
26584
2.11 KIPS |
|
|
Object Detection (Q)
|
89% |
16359
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
53342
633.8 IPS |
|
|
Face Detection (HP)
|
100% |
63863
758.8 IPS |
|
|
Face Detection (Q)
|
97% |
44629
532.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
104909
808.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
175229
1.35 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75438
608.5 IPS |
|
|
Style Transfer (SP)
|
100% |
642961
826.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1202614
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
543505
700.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68856
2.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90333
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49551
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4297
5.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5364
7.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2495
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5601
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5513
95.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2358
52.6 IPS |
