ASUS System Product Name
Geekbench AI Score
4084
Single Precision Score
1702
Half Precision Score
4821
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | citytrader |
| Upload Date | November 15 2024 06:02 PM |
| Views | 13 |
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 Z790 HERO |
| 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% |
2571
478.0 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
4502
839.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3286
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8998
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4920
5.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
29104
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
88% |
2536
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
4005
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8841
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2264
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9126
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20802
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12580
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18528
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2409
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5317
196.9 IPS |
|
|
Text Classification (SP)
|
100% |
2017
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
647
866.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
760
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2669
59.5 IPS |
