ASUS System Product Name
Geekbench AI Score
37584
Single Precision Score
64266
Half Precision Score
28390
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | November 17 2025 05:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15215
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22886
4.26 KIPS |
|
|
Image Classification (Q)
|
100% |
13478
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28619
463.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
41283
669.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25114
408.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
196527
229.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
769207
897.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
176846
207.1 IPS |
|
|
Object Detection (SP)
|
100% |
19375
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
30656
2.43 KIPS |
|
|
Object Detection (Q)
|
86% |
16129
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
56006
665.5 IPS |
|
|
Face Detection (HP)
|
100% |
80255
953.6 IPS |
|
|
Face Detection (Q)
|
97% |
45879
547.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
95942
739.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
167500
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71848
573.7 IPS |
|
|
Style Transfer (SP)
|
100% |
354900
456.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1132477
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
296391
382.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53306
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85514
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40701
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4313
5.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5306
7.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2684
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7737
133.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7810
134.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3301
61.9 IPS |
