iPad17,1
Geekbench AI Score
5318
Single Precision Score
8654
Half Precision Score
6865
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 02:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
425.9 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3810
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11000
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20935
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17879
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.7 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2950
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
4804
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4777
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9126
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15231
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10578
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41335
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33839
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7323
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9548
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9469
163.6 IPS |
