iPad15,7
Geekbench AI Score
2758
Single Precision Score
2912
Half Precision Score
2543
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 11:17 AM |
| Views | 5 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
908
168.8 IPS |
|
|
Image Classification (Q)
|
97% |
702
131.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2035
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1998
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9591
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9306
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.7 IPS |
|
|
Object Detection (Q)
|
91% |
775
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3368
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6667
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6474
49.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5823
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17573
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19147
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17709
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2798
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2237
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4603
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
98% |
313
5.42 IPS |
