ASUS System Product Name
Geekbench AI Score
6769
Single Precision Score
2027
Half Precision Score
11715
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RHE4D |
| Upload Date | October 14 2025 07:51 AM |
| Views | 14 |
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. ROG MAXIMUS Z690 HERO |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5727
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
9162
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15704
255.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13418
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5377
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
43277
50.7 IPS |
|
|
Object Detection (SP)
|
100% |
5239
415.6 IPS |
|
|
Object Detection (HP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (Q)
|
86% |
9991
803.0 IPS |
|
|
Face Detection (SP)
|
100% |
16785
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
14755
175.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15531
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2657
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23527
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30652
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13135
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35951
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2539
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7591
281.1 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1873
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2752
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4413
88.7 IPS |
