ASUS System Product Name
Geekbench AI Score
5579
Single Precision Score
1770
Half Precision Score
8698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfuller67 |
| Upload Date | May 07 2025 04:01 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-H GAMING WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4431
824.0 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.4 IPS |
|
|
Image Classification (Q)
|
99% |
7474
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4248
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10288
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5086
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
34056
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
4180
331.5 IPS |
|
|
Object Detection (HP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (Q)
|
86% |
8025
644.9 IPS |
|
|
Face Detection (SP)
|
100% |
11962
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
12215
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12388
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2447
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19329
154.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23810
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12574
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30043
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3934
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5452
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4027
80.9 IPS |
