ASUS System Product Name
Geekbench AI Score
39253
Single Precision Score
64491
Half Precision Score
29319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 03:22 PM |
| Views | 2 |
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 MAXIMUS Z890 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15120
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
22110
4.11 KIPS |
|
|
Image Classification (Q)
|
100% |
13291
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30537
495.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
42999
697.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26523
431.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
253577
295.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
761803
888.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
214618
251.4 IPS |
|
|
Object Detection (SP)
|
100% |
20055
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
30123
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
16887
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
56412
670.3 IPS |
|
|
Face Detection (HP)
|
100% |
80459
956.0 IPS |
|
|
Face Detection (Q)
|
97% |
47042
560.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
96046
740.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
165250
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70199
560.6 IPS |
|
|
Style Transfer (SP)
|
100% |
370709
476.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1195995
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
319929
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58128
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90268
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42737
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
4146
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5238
6.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2518
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7642
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7587
130.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3232
60.6 IPS |
