ASUS System Product Name
Geekbench AI Score
6814
Single Precision Score
6717
Half Precision Score
12250
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4165
774.6 IPS |
|
|
Image Classification (HP)
|
100% |
4050
753.2 IPS |
|
|
Image Classification (Q)
|
100% |
9634
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5436
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5455
88.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8679
140.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12058
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11646
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28295
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3906
309.8 IPS |
|
|
Object Detection (HP)
|
100% |
3961
314.2 IPS |
|
|
Object Detection (Q)
|
88% |
2862
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
13076
155.4 IPS |
|
|
Face Detection (HP)
|
100% |
13096
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
15205
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12191
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12166
93.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
28928
224.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34489
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34213
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
86014
110.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17880
662.2 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
4898
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3121
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3393
58.4 IPS |
