ASUS System Product Name
Geekbench AI Score
32837
Single Precision Score
46717
Half Precision Score
24377
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 05:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PRO WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12827
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
17503
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10832
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19105
309.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23597
382.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17642
286.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
266227
310.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
476936
556.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
235800
276.1 IPS |
|
|
Object Detection (SP)
|
100% |
16035
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
21994
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
12796
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
40921
486.2 IPS |
|
|
Face Detection (HP)
|
100% |
51093
607.1 IPS |
|
|
Face Detection (Q)
|
97% |
34280
408.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
78768
606.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
148047
1.14 KIPS |
|
|
Depth Estimation (Q)
|
76% |
59383
478.4 IPS |
|
|
Style Transfer (SP)
|
100% |
408599
525.3 IPS |
|
|
Style Transfer (HP)
|
100% |
869637
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
359084
463.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56111
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74758
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41599
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4852
83.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1847
41.2 IPS |
