iPad15,7
Geekbench AI Score
3105
Single Precision Score
3177
Half Precision Score
2844
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1071
199.2 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.5 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2200
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9503
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10378
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9947
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
92% |
632
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4917
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6551
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6204
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17560
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19539
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18900
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2916
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3013
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2705
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
