iPad17,2
Geekbench AI Score
5567
Single Precision Score
8970
Half Precision Score
6913
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 27 2026 02:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.2 IPS |
|
|
Image Classification (Q)
|
94% |
2158
403.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9963
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19261
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16589
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2708
214.8 IPS |
|
|
Object Detection (HP)
|
98% |
3993
317.7 IPS |
|
|
Object Detection (Q)
|
88% |
2624
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
5042
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
9359
111.2 IPS |
|
|
Face Detection (Q)
|
100% |
5021
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8810
67.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11591
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7976
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25111
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46286
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36752
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10576
390.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6231
230.1 IPS |
|
|
Text Classification (SP)
|
100% |
5812
7.76 KIPS |
|
|
Text Classification (HP)
|
99% |
9335
12.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9207
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5083
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8418
145.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8069
139.5 IPS |
