iPad15,8
Geekbench AI Score
2992
Single Precision Score
3265
Half Precision Score
3004
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | June 21 2025 08:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (Q)
|
96% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2193
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9616
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10549
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10033
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
92% |
1039
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (Q)
|
100% |
4019
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6770
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6707
51.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7072
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17687
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19512
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19086
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2962
109.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2527
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4637
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4763
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
