iPad15,3
Geekbench AI Score
7036
Single Precision Score
8487
Half Precision Score
7736
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 10:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3742
695.8 IPS |
|
|
Image Classification (HP)
|
100% |
4128
767.7 IPS |
|
|
Image Classification (Q)
|
96% |
3728
696.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6027
97.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6476
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6213
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15269
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17973
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17921
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
3598
285.4 IPS |
|
|
Object Detection (HP)
|
100% |
4364
346.2 IPS |
|
|
Object Detection (Q)
|
92% |
3985
318.1 IPS |
|
|
Face Detection (SP)
|
100% |
10221
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
12423
147.6 IPS |
|
|
Face Detection (Q)
|
100% |
10064
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14569
112.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17542
135.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
15531
121.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40290
51.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53465
68.7 IPS |
|
|
Style Transfer (Q)
|
96% |
52534
67.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10216
377.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10353
382.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8804
325.1 IPS |
|
|
Text Classification (SP)
|
100% |
2049
2.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3496
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3492
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1840
31.8 IPS |
