ASUS System Product Name
Geekbench AI Score
42338
Single Precision Score
56949
Half Precision Score
31147
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 12:46 AM |
| Views | 164 |
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% |
15802
2.94 KIPS |
|
|
Image Classification (HP)
|
99% |
20904
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13102
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23678
383.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28400
460.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21750
353.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
371774
433.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
583944
681.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
318620
373.1 IPS |
|
|
Object Detection (SP)
|
100% |
20854
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26924
2.14 KIPS |
|
|
Object Detection (Q)
|
89% |
16568
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53845
639.8 IPS |
|
|
Face Detection (HP)
|
100% |
64399
765.2 IPS |
|
|
Face Detection (Q)
|
97% |
44957
536.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105934
816.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
176655
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75895
612.2 IPS |
|
|
Style Transfer (SP)
|
100% |
649602
835.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1211341
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
548743
707.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69573
2.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91536
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50125
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2556
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5642
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5540
95.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2382
53.1 IPS |
