iPad15,7
Geekbench AI Score
3007
Single Precision Score
3062
Half Precision Score
3172
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
928
172.6 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
96% |
867
162.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2188
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9559
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10398
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10088
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (Q)
|
92% |
925
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
4190
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6675
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6501
50.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6688
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17724
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19758
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19085
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2702
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4755
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.6 IPS |
