iPad15,7
Geekbench AI Score
2699
Single Precision Score
2912
Half Precision Score
2492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 26 2025 03:05 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.4 IPS |
|
|
Image Classification (HP)
|
100% |
949
176.4 IPS |
|
|
Image Classification (Q)
|
97% |
478
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1983
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9678
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10223
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9494
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (Q)
|
91% |
782
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3779
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
3443
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6037
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6284
48.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6206
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17656
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19372
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17680
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
2662
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4753
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
98% |
312
5.39 IPS |
