iPad15,7
Geekbench AI Score
2915
Single Precision Score
3259
Half Precision Score
2991
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:28 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
96% |
579
108.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2307
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9783
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
92% |
960
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7765
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6366
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17541
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19580
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18881
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4795
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
