ASUS System Product Name
Geekbench AI Score
36563
Single Precision Score
60786
Half Precision Score
27548
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | May 31 2025 07:11 AM |
| Views | 11 |
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. ProArt Z890-CREATOR WIFI |
| 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% |
13991
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
20942
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
12180
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28354
459.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
40791
661.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25448
413.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
239216
279.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
701234
818.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
204410
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
18494
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
27126
2.15 KIPS |
|
|
Object Detection (Q)
|
86% |
15753
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54804
651.2 IPS |
|
|
Face Detection (HP)
|
100% |
80000
950.6 IPS |
|
|
Face Detection (Q)
|
97% |
45091
537.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
88133
679.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
171175
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65232
520.9 IPS |
|
|
Style Transfer (SP)
|
100% |
345282
443.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1102308
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
300578
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53786
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81898
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40152
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
7091
122.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7039
121.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3083
57.8 IPS |
