ASUS System Product Name
Geekbench AI Score
5268
Single Precision Score
1209
Half Precision Score
7100
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
5498
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
4401
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13218
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
36293
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3228
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
2955
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
6014
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (Q)
|
97% |
6530
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12540
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1383
10.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
13872
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30082
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19229
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30002
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3912
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3442
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6885
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2833
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3568
79.6 IPS |
