iPad15,8
Geekbench AI Score
3003
Single Precision Score
3163
Half Precision Score
2922
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | October 09 2025 12:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
96% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2230
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9639
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10396
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10067
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
92% |
898
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
4116
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6648
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6317
48.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6256
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19440
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18876
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3029
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2757
101.8 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
