ASUS System Product Name
Geekbench AI Score
30136
Single Precision Score
52686
Half Precision Score
23246
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LOGTI |
| Upload Date | April 10 2025 08:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 EXTREME |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11813
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
19931
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
10605
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23283
377.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
36171
586.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21084
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170442
198.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
486689
567.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
144454
169.2 IPS |
|
|
Object Detection (SP)
|
100% |
15374
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
25432
2.02 KIPS |
|
|
Object Detection (Q)
|
83% |
12951
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
42852
509.2 IPS |
|
|
Face Detection (HP)
|
100% |
64374
764.9 IPS |
|
|
Face Detection (Q)
|
97% |
36419
434.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
72705
560.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
133995
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57257
457.0 IPS |
|
|
Style Transfer (SP)
|
100% |
239539
307.9 IPS |
|
|
Style Transfer (HP)
|
100% |
823914
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
205432
264.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43109
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77752
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34076
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4753
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2462
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6853
118.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7032
121.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3066
57.5 IPS |
