iPad17,1
Geekbench AI Score
5273
Single Precision Score
41999
Half Precision Score
58064
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 10:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2246
417.6 IPS |
|
|
Image Classification (HP)
|
100% |
18120
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24533
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24182
392.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33905
549.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178277
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
335161
392.8 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
18443
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27004
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
47373
562.9 IPS |
|
|
Face Detection (Q)
|
100% |
66673
792.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111358
857.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
186514
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27457
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272463
350.3 IPS |
|
|
Style Transfer (Q)
|
96% |
368956
476.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63709
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99859
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7348
9.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6818
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17619
303.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18523
320.1 IPS |
