iPad15,3
Geekbench AI Score
4022
Single Precision Score
30946
Half Precision Score
34468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:17 PM |
| Views | 1 |
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% |
1529
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
16332
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18226
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22300
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26933
436.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
120985
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121070
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
17359
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20338
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3461
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
39663
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
51900
616.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97232
749.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121686
951.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22044
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229079
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220476
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47714
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54296
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3271
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4499
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4707
81.3 IPS |
