ASUS System Product Name
Geekbench AI Score
38781
Single Precision Score
64765
Half Precision Score
28970
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 03:53 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15212
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22404
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
13254
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29319
475.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42093
682.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25730
418.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
244841
285.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
742028
865.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
208498
244.2 IPS |
|
|
Object Detection (SP)
|
100% |
20061
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
30582
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
16972
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
58618
696.5 IPS |
|
|
Face Detection (HP)
|
100% |
86608
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
47789
569.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
93339
719.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
177658
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68160
544.3 IPS |
|
|
Style Transfer (SP)
|
100% |
363865
467.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1190394
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
314177
405.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58198
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88663
3.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43139
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2471
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7413
127.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7443
128.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3163
59.3 IPS |
