ASUS System Product Name
Geekbench AI Score
3394
Single Precision Score
4370
Half Precision Score
2435
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 17 2024 12:26 AM |
| Views | 14 |
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 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2344
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
100% |
1682
312.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1497
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13321
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7973
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (HP)
|
99% |
2643
210.2 IPS |
|
|
Object Detection (Q)
|
89% |
1569
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (Q)
|
97% |
2926
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8042
62.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12796
98.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
5807
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24885
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32960
42.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19591
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2772
102.6 IPS |
|
|
Text Classification (SP)
|
86% |
808
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
705
940.6 IPS |
|
|
Text Classification (Q)
|
83% |
556
756.6 IPS |
|
|
Machine Translation (SP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
60% |
454
10.1 IPS |
