iPad15,3
Geekbench AI Score
4181
Single Precision Score
30341
Half Precision Score
33985
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Minion |
| Upload Date | August 31 2025 02:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
16190
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17879
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22273
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27455
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120786
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121126
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
17806
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20186
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39030
463.8 IPS |
|
|
Face Detection (Q)
|
100% |
51632
613.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7177
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92368
711.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124182
970.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22454
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225724
290.2 IPS |
|
|
Style Transfer (Q)
|
96% |
216713
279.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41883
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47295
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5553
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4693
81.1 IPS |
