iPad17,2
Geekbench AI Score
5329
Single Precision Score
41323
Half Precision Score
57704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:27 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
17730
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
23896
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24231
392.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33409
541.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11001
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178636
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
333973
391.4 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
18066
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26425
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47149
560.2 IPS |
|
|
Face Detection (Q)
|
100% |
68755
817.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111058
855.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
181019
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27486
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272463
350.3 IPS |
|
|
Style Transfer (Q)
|
96% |
373376
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63093
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99174
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6835
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17747
305.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18446
318.8 IPS |
