iPad15,7
Geekbench AI Score
2970
Single Precision Score
3105
Half Precision Score
2974
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:54 AM |
| Views | 3 |
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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
96% |
569
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2404
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2199
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9348
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9745
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (Q)
|
92% |
904
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7269
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7755
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6189
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19520
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18954
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2651
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
