ASUS System Product Name
Geekbench AI Score
37304
Single Precision Score
61286
Half Precision Score
28146
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 02:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| 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% |
14381
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
20330
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
12364
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29019
470.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
41007
664.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25634
416.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
242867
283.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
707410
825.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
207666
243.3 IPS |
|
|
Object Detection (SP)
|
100% |
19116
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
27904
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
16226
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
54018
641.8 IPS |
|
|
Face Detection (HP)
|
100% |
77935
926.0 IPS |
|
|
Face Detection (Q)
|
97% |
44667
532.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
90670
698.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
172157
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67172
536.4 IPS |
|
|
Style Transfer (SP)
|
100% |
354975
456.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1122574
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
308324
397.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55972
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85839
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42047
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2424
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7263
125.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3099
58.1 IPS |
