iPad15,7
Geekbench AI Score
2622
Single Precision Score
2710
Half Precision Score
2430
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | March 13 2025 07:21 AM |
| Views | 13 |
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% |
654
121.6 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
97% |
591
110.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1911
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9341
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9254
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
945
74.9 IPS |
|
|
Object Detection (Q)
|
91% |
629
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
3336
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7403
57.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5778
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17450
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19219
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17723
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2271
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4774
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4573
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.39 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.33 IPS |
