ASUS System Product Name
Geekbench AI Score
36318
Single Precision Score
49801
Half Precision Score
27756
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sebvance |
| Upload Date | March 17 2025 07:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13580
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
18164
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11782
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21497
348.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26333
426.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19719
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
308866
360.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
508500
593.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
266646
312.4 IPS |
|
|
Object Detection (SP)
|
100% |
17669
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
22706
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
15004
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
49361
586.5 IPS |
|
|
Face Detection (HP)
|
100% |
62006
736.8 IPS |
|
|
Face Detection (Q)
|
97% |
42441
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92846
715.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
156455
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68529
548.1 IPS |
|
|
Style Transfer (SP)
|
100% |
535205
688.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1038223
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
457751
590.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57871
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78082
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42774
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4349
5.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2078
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4969
85.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2468
46.3 IPS |
