ASUS System Product Name
Geekbench AI Score
6616
Single Precision Score
6679
Half Precision Score
15511
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
4025
748.6 IPS |
|
|
Image Classification (HP)
|
100% |
3988
741.7 IPS |
|
|
Image Classification (Q)
|
100% |
9737
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5251
85.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5353
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9951
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12009
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12411
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
35046
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
3665
290.7 IPS |
|
|
Object Detection (HP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (Q)
|
88% |
10724
859.6 IPS |
|
|
Face Detection (SP)
|
100% |
12245
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
12263
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
27306
324.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12027
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12057
92.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29923
232.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36585
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36553
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
96653
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18189
673.6 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4860
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3172
54.6 IPS |
