iPad17,2
Geekbench AI Score
13233
Single Precision Score
23207
Half Precision Score
23224
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6172
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10183
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9695
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9994
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15251
247.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16705
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37257
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89817
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105554
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
10835
859.5 IPS |
|
|
Object Detection (Q)
|
93% |
9786
780.7 IPS |
|
|
Face Detection (SP)
|
100% |
18196
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
32140
381.9 IPS |
|
|
Face Detection (Q)
|
100% |
25989
308.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27573
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50548
389.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51234
400.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78086
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164593
211.6 IPS |
|
|
Style Transfer (Q)
|
96% |
200836
259.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16042
592.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30695
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28672
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6042
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6525
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6547
113.1 IPS |
