ASUS System Product Name
Geekbench AI Score
5493
Single Precision Score
1872
Half Precision Score
8935
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 31 2025 11:14 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4301
799.9 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
7951
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4423
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9793
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
30593
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4145
328.8 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
8042
646.4 IPS |
|
|
Face Detection (SP)
|
100% |
11453
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
12171
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12510
96.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2405
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19167
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12135
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31285
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5859
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2040
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4297
86.3 IPS |
