ASUS System Product Name
Geekbench AI Score
33146
Single Precision Score
47829
Half Precision Score
25851
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | January 14 2025 04:05 AM |
| Views | 8 |
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% |
13510
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
18831
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11720
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18977
307.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23173
375.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17580
285.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
262669
306.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
481854
562.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
228482
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
16381
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
22613
1.79 KIPS |
|
|
Object Detection (Q)
|
85% |
14160
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
43671
518.9 IPS |
|
|
Face Detection (HP)
|
100% |
54537
648.0 IPS |
|
|
Face Detection (Q)
|
97% |
38194
455.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
79515
612.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
156883
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59727
477.0 IPS |
|
|
Style Transfer (SP)
|
100% |
400180
514.4 IPS |
|
|
Style Transfer (HP)
|
100% |
894846
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
358410
462.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55839
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74417
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41292
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4813
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2360
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4807
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2510
47.1 IPS |
