iPad15,7
Geekbench AI Score
2973
Single Precision Score
3250
Half Precision Score
2953
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:52 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% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
882
164.0 IPS |
|
|
Image Classification (Q)
|
96% |
581
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2219
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9471
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9692
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
92% |
888
70.9 IPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
4304
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8027
61.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6378
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17570
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19556
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19020
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2496
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4739
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
736
12.7 IPS |
