ASUS System Product Name
Geekbench AI Score
5593
Single Precision Score
6237
Half Precision Score
14616
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | October 09 2024 02:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4106
763.6 IPS |
|
|
Image Classification (HP)
|
100% |
4282
796.2 IPS |
|
|
Image Classification (Q)
|
100% |
8988
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4785
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4652
75.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8586
139.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8717
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8785
10.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32058
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
3983
315.9 IPS |
|
|
Object Detection (Q)
|
88% |
9743
781.0 IPS |
|
|
Face Detection (SP)
|
100% |
7242
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
11558
137.3 IPS |
|
|
Face Detection (Q)
|
100% |
23416
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10738
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11141
85.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
27044
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25969
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
77947
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5085
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16285
603.1 IPS |
|
|
Text Classification (SP)
|
100% |
1551
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
4679
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4909
84.6 IPS |
