iPad15,7
Geekbench AI Score
3637
Single Precision Score
22152
Half Precision Score
24391
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 11:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
9404
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
10660
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14727
238.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19197
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6927
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
95424
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102265
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12289
974.7 IPS |
|
|
Object Detection (Q)
|
91% |
14623
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30809
366.1 IPS |
|
|
Face Detection (Q)
|
100% |
38823
461.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6203
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71932
554.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89033
696.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19157
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171861
220.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173148
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4069
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32193
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36441
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1385
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7194
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8064
139.4 IPS |
