ASUS System Product Name
Geekbench AI Score
5643
Single Precision Score
1702
Half Precision Score
8698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 12:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4380
814.5 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.1 IPS |
|
|
Image Classification (Q)
|
99% |
7522
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4317
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11282
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4990
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
34462
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
4131
327.7 IPS |
|
|
Object Detection (HP)
|
100% |
756
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
8047
646.8 IPS |
|
|
Face Detection (SP)
|
100% |
11986
142.4 IPS |
|
|
Face Detection (HP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
12753
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12730
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2238
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18639
148.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25043
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12481
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28375
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5574
206.4 IPS |
|
|
Text Classification (SP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1808
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2418
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4051
81.4 IPS |
