iPad15,7
Geekbench AI Score
3449
Single Precision Score
22818
Half Precision Score
26119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 05:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
9389
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
10879
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16180
262.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19247
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
97250
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102236
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12425
985.5 IPS |
|
|
Object Detection (Q)
|
91% |
14254
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
31128
369.9 IPS |
|
|
Face Detection (Q)
|
100% |
40184
477.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5987
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71372
549.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89397
698.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18678
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
169649
218.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171262
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33123
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35427
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2721
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7141
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8168
141.2 IPS |
