ASUS System Product Name
Geekbench AI Score
29029
Single Precision Score
50409
Half Precision Score
22517
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ERIK4455 |
| Upload Date | November 13 2025 11:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11285
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
18406
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10173
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21496
348.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32047
519.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19628
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
169042
197.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
491459
573.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
145555
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
14621
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
23907
1.90 KIPS |
|
|
Object Detection (Q)
|
83% |
12570
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
40244
478.2 IPS |
|
|
Face Detection (HP)
|
100% |
59833
710.9 IPS |
|
|
Face Detection (Q)
|
97% |
34650
413.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
70919
546.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
139356
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55987
446.9 IPS |
|
|
Style Transfer (SP)
|
100% |
233262
299.9 IPS |
|
|
Style Transfer (HP)
|
100% |
797510
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
201396
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41692
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74169
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32806
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6351
109.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2983
56.0 IPS |
