iPad15,3
Geekbench AI Score
4014
Single Precision Score
31116
Half Precision Score
34616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 05:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
16343
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18611
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22291
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26887
435.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8349
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
121296
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120741
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17291
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20342
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
39690
471.6 IPS |
|
|
Face Detection (Q)
|
100% |
51541
612.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6981
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97113
748.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121930
953.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22025
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229269
294.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220458
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49030
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54147
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4711
81.4 IPS |
