iPad17,2
Geekbench AI Score
5319
Single Precision Score
41239
Half Precision Score
57148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:37 PM |
| Views | 1 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
18026
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23651
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24082
390.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32951
534.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177156
206.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
333875
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
18135
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26297
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4817
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
47332
562.4 IPS |
|
|
Face Detection (Q)
|
100% |
66832
794.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110736
853.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175871
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27372
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271012
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
373435
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62912
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99957
3.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6455
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6716
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17687
304.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18431
318.5 IPS |
