iPad15,3
Geekbench AI Score
4136
Single Precision Score
7074
Half Precision Score
5713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aqus |
| Upload Date | December 27 2025 04:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17573
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15110
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3998
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12802
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9049
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34650
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28633
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4472
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5358
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6417
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6398
110.6 IPS |
