ASUS System Product Name
Geekbench AI Score
32414
Single Precision Score
47232
Half Precision Score
25310
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 03:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO EVA |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13159
2.45 KIPS |
|
|
Image Classification (HP)
|
99% |
18536
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11206
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18630
302.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22629
366.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17004
276.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
256452
299.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
492750
575.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
224582
263.1 IPS |
|
|
Object Detection (SP)
|
100% |
15954
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
22412
1.78 KIPS |
|
|
Object Detection (Q)
|
85% |
13978
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
43335
514.9 IPS |
|
|
Face Detection (HP)
|
100% |
53599
636.9 IPS |
|
|
Face Detection (Q)
|
97% |
36786
438.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
74500
574.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
155057
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60131
480.2 IPS |
|
|
Style Transfer (SP)
|
100% |
394969
507.7 IPS |
|
|
Style Transfer (HP)
|
100% |
884348
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
344410
444.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54327
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72911
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41372
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2317
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4785
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2470
46.3 IPS |
