ASUS System Product Name
Geekbench AI Score
3481
Single Precision Score
4454
Half Precision Score
2521
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 16 2024 09:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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 | Dengeli |
| 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% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
2734
508.4 IPS |
|
|
Image Classification (Q)
|
100% |
1651
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1611
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14126
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8308
9.73 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
99% |
2643
210.3 IPS |
|
|
Object Detection (Q)
|
89% |
1615
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (Q)
|
97% |
3067
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8153
62.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13040
100.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
6049
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25800
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34365
44.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20444
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2916
108.0 IPS |
|
|
Text Classification (SP)
|
86% |
833
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
708
945.4 IPS |
|
|
Text Classification (Q)
|
83% |
549
747.1 IPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
480
10.7 IPS |
