ASUS System Product Name
Geekbench AI Score
24166
Single Precision Score
27763
Half Precision Score
20739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | December 31 2024 01:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | High performance |
| 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% |
12559
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
12771
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
11066
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12401
201.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9812
159.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10891
177.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
183284
213.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
277479
323.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
162940
190.9 IPS |
|
|
Object Detection (SP)
|
100% |
10560
837.6 IPS |
|
|
Object Detection (HP)
|
99% |
12127
961.9 IPS |
|
|
Object Detection (Q)
|
87% |
11587
930.6 IPS |
|
|
Face Detection (SP)
|
100% |
26369
313.3 IPS |
|
|
Face Detection (HP)
|
100% |
28724
341.3 IPS |
|
|
Face Detection (Q)
|
97% |
25889
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68048
524.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80139
617.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
54598
437.5 IPS |
|
|
Style Transfer (SP)
|
100% |
325766
418.8 IPS |
|
|
Style Transfer (HP)
|
100% |
471571
606.2 IPS |
|
|
Style Transfer (Q)
|
98% |
283746
365.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31948
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48093
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28776
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2416
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3312
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2321
43.5 IPS |
