ASUS System Product Name
Geekbench AI Score
32039
Single Precision Score
53875
Half Precision Score
24064
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 06:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13257
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
19847
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
11547
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23176
375.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33785
547.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20418
332.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
168710
196.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
634562
740.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
153127
179.4 IPS |
|
|
Object Detection (SP)
|
100% |
15626
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
23598
1.87 KIPS |
|
|
Object Detection (Q)
|
86% |
12903
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
46149
548.3 IPS |
|
|
Face Detection (HP)
|
100% |
64227
763.2 IPS |
|
|
Face Detection (Q)
|
97% |
38219
455.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
82261
633.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
136695
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60313
481.6 IPS |
|
|
Style Transfer (SP)
|
100% |
311902
401.0 IPS |
|
|
Style Transfer (HP)
|
100% |
959409
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
257222
331.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46371
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77413
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35278
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3969
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5057
6.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6457
111.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6222
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2869
53.8 IPS |
