iPad15,5
Geekbench AI Score
3985
Single Precision Score
7086
Half Precision Score
5746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2057
384.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3220
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8378
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17485
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15102
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3210
255.6 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3414
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6747
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3967
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6907
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12747
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9041
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21957
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33820
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28126
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6167
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6581
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6637
114.7 IPS |
