ASUS System Product Name
Geekbench AI Score
35714
Single Precision Score
59413
Half Precision Score
27059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 01:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13991
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
20460
3.80 KIPS |
|
|
Image Classification (Q)
|
100% |
12501
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27304
442.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
38774
628.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24484
398.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
226526
264.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
671599
783.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
192824
225.9 IPS |
|
|
Object Detection (SP)
|
100% |
18357
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
26504
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
15714
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
51334
610.0 IPS |
|
|
Face Detection (HP)
|
100% |
73209
869.9 IPS |
|
|
Face Detection (Q)
|
97% |
42668
508.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88056
678.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
168272
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65094
519.8 IPS |
|
|
Style Transfer (SP)
|
100% |
329657
423.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1105708
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
289907
373.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54784
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84667
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40920
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4931
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2345
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6762
116.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6825
117.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2937
55.1 IPS |
