ASUS System Product Name
Geekbench AI Score
3392
Single Precision Score
1487
Half Precision Score
4849
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | laidbackdev |
| Upload Date | November 06 2024 05:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-K D4 |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.0 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
3957
738.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3584
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7130
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4493
5.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
23521
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (Q)
|
88% |
2197
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
3857
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7816
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2040
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8028
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16244
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11043
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18420
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2998
110.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.3 IPS |
|
|
Text Classification (Q)
|
97% |
1654
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2354
52.5 IPS |
