iPad15,3
Geekbench AI Score
4022
Single Precision Score
31036
Half Precision Score
34566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 11:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1520
282.6 IPS |
|
|
Image Classification (HP)
|
100% |
16272
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
18893
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22292
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27448
445.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8306
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
122082
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120867
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17709
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20333
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
39720
472.0 IPS |
|
|
Face Detection (Q)
|
100% |
51921
616.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6973
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98476
758.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
121254
948.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22008
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
228557
293.8 IPS |
|
|
Style Transfer (Q)
|
96% |
218907
282.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47636
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54135
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4688
81.0 IPS |
