ASUS System Product Name
Geekbench AI Score
6627
Single Precision Score
6921
Half Precision Score
13125
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 06:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| 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% |
4553
846.8 IPS |
|
|
Image Classification (HP)
|
100% |
4549
846.0 IPS |
|
|
Image Classification (Q)
|
100% |
10578
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5862
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5888
95.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10346
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13696
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11905
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19759
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
3874
307.3 IPS |
|
|
Object Detection (Q)
|
88% |
6989
560.2 IPS |
|
|
Face Detection (SP)
|
100% |
9212
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
10083
119.8 IPS |
|
|
Face Detection (Q)
|
100% |
16096
191.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10338
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11501
88.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15827
123.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39754
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39306
50.5 IPS |
|
|
Style Transfer (Q)
|
98% |
104079
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6214
229.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6204
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19280
714.0 IPS |
|
|
Text Classification (SP)
|
100% |
1926
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5256
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3695
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3737
64.4 IPS |
