iPad17,3
Geekbench AI Score
12645
Single Precision Score
22562
Half Precision Score
22592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6152
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10178
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9682
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9927
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15049
244.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16646
269.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36931
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89072
103.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104318
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
6271
497.4 IPS |
|
|
Object Detection (HP)
|
100% |
10792
856.0 IPS |
|
|
Object Detection (Q)
|
93% |
9657
770.4 IPS |
|
|
Face Detection (SP)
|
100% |
18042
214.4 IPS |
|
|
Face Detection (HP)
|
100% |
31613
375.6 IPS |
|
|
Face Detection (Q)
|
100% |
25808
306.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27437
211.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50329
387.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
50943
397.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78232
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163678
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
197788
255.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15347
566.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30779
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28128
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5311
91.8 IPS |
