ASUS System Product Name
Geekbench AI Score
4385
Single Precision Score
1614
Half Precision Score
6130
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tphillips63 |
| Upload Date | October 25 2024 09:10 PM |
| Views | 5 |
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. TUF GAMING Z790-BTF WIFI |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2417
449.5 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
4396
820.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4092
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10291
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4804
5.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
33356
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.5 IPS |
|
|
Object Detection (Q)
|
88% |
2579
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
4898
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
6040
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9778
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2198
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11514
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22257
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11881
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27409
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3635
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2187
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4788
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
740
988.3 IPS |
|
|
Text Classification (Q)
|
97% |
1734
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3061
68.3 IPS |
