ASUS System Product Name
Geekbench AI Score
3827
Single Precision Score
3879
Half Precision Score
9018
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | April 03 2025 10:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.6 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
100% |
5904
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5736
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4040
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
14554
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
2163
171.5 IPS |
|
|
Object Detection (Q)
|
88% |
6437
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
6796
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
12710
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5946
45.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14776
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12497
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12642
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43396
56.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2664
98.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8907
329.9 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3813
65.7 IPS |
