iPad17,3
Geekbench AI Score
5092
Single Precision Score
8361
Half Precision Score
6688
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 04:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2246
417.7 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10844
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20339
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17333
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
4070
324.0 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
4342
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7849
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4662
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8982
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14682
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10243
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25780
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40719
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33523
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5122
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5540
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8898
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9330
161.2 IPS |
