iPad15,7
Geekbench AI Score
3423
Single Precision Score
22805
Half Precision Score
25746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:07 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
9607
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11120
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16273
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19345
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6219
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
95712
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102081
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12620
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14397
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
31338
372.4 IPS |
|
|
Face Detection (Q)
|
100% |
38852
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5840
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71283
549.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90269
705.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18433
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170499
219.2 IPS |
|
|
Style Transfer (Q)
|
96% |
173204
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32686
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35331
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8360
144.5 IPS |
