iPad15,7
Geekbench AI Score
3622
Single Precision Score
21460
Half Precision Score
24163
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:22 PM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
9223
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11086
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13833
224.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19042
308.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
94770
110.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101994
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
100% |
11208
889.1 IPS |
|
|
Object Detection (Q)
|
91% |
13528
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30726
365.1 IPS |
|
|
Face Detection (Q)
|
100% |
38927
462.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6196
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71876
553.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
88588
692.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18924
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166722
214.3 IPS |
|
|
Style Transfer (Q)
|
96% |
169377
218.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31375
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34271
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1456
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7157
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7995
138.2 IPS |
