ASUS System Product Name
Geekbench AI Score
5593
Single Precision Score
1848
Half Precision Score
8859
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | solitto |
| Upload Date | May 31 2025 11:11 PM |
| Views | 12 |
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% |
4397
817.8 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.8 IPS |
|
|
Image Classification (Q)
|
99% |
7518
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4376
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9873
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
31976
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4054
321.6 IPS |
|
|
Object Detection (HP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (Q)
|
86% |
8084
649.7 IPS |
|
|
Face Detection (SP)
|
100% |
11633
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
12463
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12001
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2517
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18026
143.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22311
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12201
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30823
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3968
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5866
217.2 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2060
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4186
84.1 IPS |
