ASUS System Product Name
Geekbench AI Score
5676
Single Precision Score
2392
Half Precision Score
7757
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssuper2k |
| Upload Date | November 16 2024 12:40 AM |
| Views | 6 |
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 MAXIMUS Z890 HERO |
| 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% |
2309
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
5724
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2615
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4498
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13797
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8284
9.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
46713
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
3847
305.1 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
88% |
3297
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
7055
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
6736
80.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14057
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3539
27.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14117
113.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20961
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37512
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3622
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7268
269.1 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1935
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3966
88.5 IPS |
