Polar Bear ASUS System Product Name
Geekbench AI Score
5417
Single Precision Score
5492
Half Precision Score
15685
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jiashu |
| Upload Date | August 28 2024 08:44 PM |
| Views | 13 |
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 FORMULA |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3530
656.5 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
100% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9523
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8759
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8896
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31451
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3218
255.3 IPS |
|
|
Object Detection (Q)
|
88% |
9960
798.4 IPS |
|
|
Face Detection (SP)
|
100% |
10801
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
10819
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
25790
306.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9746
75.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
9890
76.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
26215
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26830
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27207
35.0 IPS |
|
|
Style Transfer (Q)
|
98% |
88597
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17722
656.3 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
4787
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (Q)
|
85% |
6125
107.2 IPS |
