ASUS System Product Name
Geekbench AI Score
6879
Single Precision Score
6961
Half Precision Score
14472
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | December 22 2024 09:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| 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% |
3909
727.0 IPS |
|
|
Image Classification (HP)
|
100% |
4188
778.8 IPS |
|
|
Image Classification (Q)
|
100% |
9875
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5824
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11205
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12702
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34792
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (Q)
|
88% |
10705
858.2 IPS |
|
|
Face Detection (SP)
|
100% |
12258
145.6 IPS |
|
|
Face Detection (HP)
|
100% |
12259
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
27078
321.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11944
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11192
86.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20368
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34107
43.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33880
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53097
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5374
198.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18067
669.1 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6121
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3021
52.0 IPS |
