ASUS System Product Name
Geekbench AI Score
42215
Single Precision Score
56894
Half Precision Score
31082
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 12:44 AM |
| Views | 5 |
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% |
15765
2.93 KIPS |
|
|
Image Classification (HP)
|
99% |
20877
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
13083
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23632
383.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28451
461.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21693
352.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
369898
431.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
583857
681.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
317168
371.4 IPS |
|
|
Object Detection (SP)
|
100% |
20818
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26898
2.13 KIPS |
|
|
Object Detection (Q)
|
89% |
16559
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53800
639.3 IPS |
|
|
Face Detection (HP)
|
100% |
64383
765.0 IPS |
|
|
Face Detection (Q)
|
97% |
44904
535.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
105551
813.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
177000
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75777
611.2 IPS |
|
|
Style Transfer (SP)
|
100% |
646616
831.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1212644
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
546824
705.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69385
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90810
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50054
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (HP)
|
99% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2549
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5539
95.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2379
53.1 IPS |
