iPad17,2
Geekbench AI Score
5278
Single Precision Score
41249
Half Precision Score
57233
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 20 2026 03:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
17967
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23459
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24260
393.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33068
536.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177023
206.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333609
391.0 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
17999
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26595
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47204
560.9 IPS |
|
|
Face Detection (Q)
|
100% |
66541
790.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9098
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111843
861.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
184162
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27527
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271030
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
373356
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63251
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100475
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17679
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18470
319.2 IPS |
