ASUS System Product Name
Geekbench AI Score
30966
Single Precision Score
45528
Half Precision Score
23583
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mikenicolai |
| Upload Date | September 03 2024 05:28 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12506
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
17632
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10511
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18451
299.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22718
368.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17074
277.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
243259
283.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
465830
543.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
216088
253.0 IPS |
|
|
Object Detection (SP)
|
100% |
15258
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
21424
1.70 KIPS |
|
|
Object Detection (Q)
|
89% |
13334
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
39075
464.3 IPS |
|
|
Face Detection (HP)
|
100% |
48961
581.8 IPS |
|
|
Face Detection (Q)
|
97% |
33448
398.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71193
548.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
145549
1.12 KIPS |
|
|
Depth Estimation (Q)
|
70% |
52859
442.8 IPS |
|
|
Style Transfer (SP)
|
100% |
364108
468.1 IPS |
|
|
Style Transfer (HP)
|
100% |
855586
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
320282
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52995
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72012
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40273
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4766
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2317
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1948
43.4 IPS |
