iPad15,3
Geekbench AI Score
4189
Single Precision Score
7198
Half Precision Score
5817
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 04:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
3004
558.6 IPS |
|
|
Image Classification (Q)
|
96% |
2100
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9003
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17550
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12830
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9086
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22490
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34497
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28618
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6893
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6885
119.0 IPS |
