iPad15,7
Geekbench AI Score
2858
Single Precision Score
3130
Half Precision Score
3055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (Q)
|
96% |
880
164.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9492
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10334
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9735
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
92% |
835
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
3778
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7722
59.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6370
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17494
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19432
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18779
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2835
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2587
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
722
12.5 IPS |
