iPad15,3
Geekbench AI Score
2592
Single Precision Score
22351
Half Precision Score
26481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:42 AM |
| Views | 2 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
14696
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
16809
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16954
274.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22591
366.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
101957
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102379
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (HP)
|
100% |
10851
860.7 IPS |
|
|
Object Detection (Q)
|
91% |
12144
970.4 IPS |
|
|
Face Detection (SP)
|
100% |
2075
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
31474
374.0 IPS |
|
|
Face Detection (Q)
|
100% |
38878
462.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4132
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
80313
618.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
98866
773.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14025
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
150388
193.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193601
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2412
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30524
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48254
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2502
43.2 IPS |
