Polar Bear ASUS System Product Name
Geekbench AI Score
4775
Single Precision Score
907
Half Precision Score
5706
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jiashu |
| Upload Date | August 28 2024 07:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2492
463.4 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
99% |
4606
859.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
3537
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11791
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5030
5.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
36523
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3190
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
88% |
2553
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.18 IPS |
|
|
Face Detection (Q)
|
97% |
5656
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11394
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1045
8.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
12340
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27360
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12332
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30696
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6033
223.4 IPS |
|
|
Text Classification (SP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
652
873.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2858
63.7 IPS |
