iPad17,1
Geekbench AI Score
5231
Single Precision Score
8296
Half Precision Score
6812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.7 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3432
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3702
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11344
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14811
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17528
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
4184
333.1 IPS |
|
|
Object Detection (Q)
|
94% |
2912
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15307
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10555
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27413
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41198
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33785
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7331
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5176
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5454
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5187
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9201
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9747
168.4 IPS |
