iPad15,7
Geekbench AI Score
2824
Single Precision Score
3215
Half Precision Score
2876
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:31 PM |
| Views | 6 |
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% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
96% |
472
88.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2280
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9355
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9713
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
92% |
819
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5180
61.6 IPS |
|
|
Face Detection (Q)
|
100% |
4262
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8042
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6207
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17544
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19557
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18998
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2676
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2537
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4719
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
