ASUS System Product Name
Geekbench AI Score
7278
Single Precision Score
7291
Half Precision Score
6793
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | October 27 2024 03:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4318
803.0 IPS |
|
|
Image Classification (HP)
|
100% |
4359
810.7 IPS |
|
|
Image Classification (Q)
|
100% |
3452
642.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13338
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13346
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12704
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
4124
327.1 IPS |
|
|
Object Detection (HP)
|
100% |
4113
326.2 IPS |
|
|
Object Detection (Q)
|
88% |
3772
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
13613
161.8 IPS |
|
|
Face Detection (HP)
|
100% |
13550
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
8979
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12973
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13066
100.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
13613
105.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38940
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38696
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29642
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6212
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6191
228.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5826
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2004
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4584
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3607
62.1 IPS |
