iPad15,5
Geekbench AI Score
4017
Single Precision Score
22116
Half Precision Score
24938
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
11018
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
12349
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16475
267.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22391
363.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
107107
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106162
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
12301
975.7 IPS |
|
|
Object Detection (Q)
|
91% |
17737
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3403
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
24111
286.5 IPS |
|
|
Face Detection (Q)
|
100% |
35204
418.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40911
315.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
50635
395.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22065
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206765
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
178307
230.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36957
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36672
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2793
48.3 IPS |
