iPad15,3
Geekbench AI Score
4014
Single Precision Score
7077
Half Precision Score
5728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr3d |
| Upload Date | September 17 2025 04:00 PM |
| Views | 5 |
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% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
17502
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15063
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6757
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12788
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9029
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21935
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33824
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28140
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5470
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6623
114.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6615
114.3 IPS |
