iPad17,3
Geekbench AI Score
12638
Single Precision Score
22629
Half Precision Score
22675
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | October 22 2025 09:44 AM |
| Views | 7 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6158
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10348
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9718
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9888
160.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15030
243.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16452
266.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
36453
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88823
103.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103939
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
6270
497.3 IPS |
|
|
Object Detection (HP)
|
100% |
10850
860.6 IPS |
|
|
Object Detection (Q)
|
93% |
9794
781.4 IPS |
|
|
Face Detection (SP)
|
100% |
18327
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
31953
379.7 IPS |
|
|
Face Detection (Q)
|
100% |
26100
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27334
210.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49944
384.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
50792
396.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77076
99.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163200
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
198360
256.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15276
564.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30603
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28255
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5340
92.3 IPS |
