direct ml 1 ASUS System Product Name
Geekbench AI Score
25517
Single Precision Score
38110
Half Precision Score
15071
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Issasanwi |
| Upload Date | July 25 2025 06:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9744
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13412
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6464
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18315
296.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26012
421.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12649
205.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
168689
196.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
353686
412.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
126278
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
12503
991.8 IPS |
|
|
Object Detection (HP)
|
100% |
17424
1.38 KIPS |
|
|
Object Detection (Q)
|
85% |
8318
669.1 IPS |
|
|
Face Detection (SP)
|
100% |
35736
424.6 IPS |
|
|
Face Detection (HP)
|
100% |
49687
590.4 IPS |
|
|
Face Detection (Q)
|
97% |
22328
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
62211
479.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102020
786.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
35780
286.5 IPS |
|
|
Style Transfer (SP)
|
100% |
268423
345.1 IPS |
|
|
Style Transfer (HP)
|
100% |
614498
789.9 IPS |
|
|
Style Transfer (Q)
|
98% |
188947
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36317
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52886
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21035
778.9 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1567
29.4 IPS |
