iPad17,2
Geekbench AI Score
14140
Single Precision Score
24653
Half Precision Score
26063
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | February 27 2026 02:30 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5818
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9427
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9931
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15157
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16415
266.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37189
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89092
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
117092
137.2 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
10996
872.2 IPS |
|
|
Object Detection (Q)
|
94% |
11556
921.4 IPS |
|
|
Face Detection (SP)
|
100% |
19202
228.2 IPS |
|
|
Face Detection (HP)
|
100% |
34565
410.7 IPS |
|
|
Face Detection (Q)
|
100% |
33629
399.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27483
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51251
394.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
54814
427.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78080
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
162003
208.3 IPS |
|
|
Style Transfer (Q)
|
96% |
204735
264.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15069
556.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28208
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26875
992.4 IPS |
|
|
Text Classification (SP)
|
100% |
5724
7.64 KIPS |
|
|
Text Classification (HP)
|
100% |
9315
12.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9289
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
6628
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7858
135.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7159
123.7 IPS |
