iPad15,7
Geekbench AI Score
2848
Single Precision Score
3141
Half Precision Score
3027
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 03:05 AM |
| Views | 4 |
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% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2278
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9553
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10280
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9712
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.6 IPS |
|
|
Object Detection (Q)
|
92% |
744
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5010
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
4308
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7193
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7764
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6343
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17563
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19512
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18887
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2453
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4798
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
