ASUS System Product Name
Geekbench AI Score
3816
Single Precision Score
915
Half Precision Score
4755
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | falken1 |
| Upload Date | August 27 2024 09:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
4497
838.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
2936
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7913
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
26228
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
2608
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (Q)
|
97% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1129
8.70 IPS |
|
|
Depth Estimation (Q)
|
76% |
9319
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18004
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11313
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17436
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
677
906.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2832
63.2 IPS |
