ASUS System Product Name
Geekbench AI Score
6360
Single Precision Score
2447
Half Precision Score
9530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 11:48 PM |
| Views | 1 |
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-I 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5460
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
8779
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4156
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14047
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8187
9.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
44386
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
4188
332.2 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
11033
886.7 IPS |
|
|
Face Detection (SP)
|
100% |
10136
120.4 IPS |
|
|
Face Detection (HP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
12696
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14290
110.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3365
25.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
23224
185.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30376
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21218
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23014
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6819
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4416
88.7 IPS |
