iPad17,2
Geekbench AI Score
5296
Single Precision Score
41405
Half Precision Score
57550
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:10 AM |
| Views | 4 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
18199
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24393
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24082
390.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33783
547.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11349
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177699
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333638
391.0 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
18175
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26575
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
47223
561.1 IPS |
|
|
Face Detection (Q)
|
100% |
67184
798.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111213
856.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
176416
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27481
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270945
348.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373427
481.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63815
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99382
3.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6713
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17824
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18473
319.2 IPS |
