iPad15,7
Geekbench AI Score
3448
Single Precision Score
22961
Half Precision Score
25080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:14 AM |
| Views | 3 |
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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
9841
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
11082
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16057
260.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19294
312.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6454
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
97158
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102161
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12272
973.5 IPS |
|
|
Object Detection (Q)
|
91% |
13973
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
31317
372.1 IPS |
|
|
Face Detection (Q)
|
100% |
40500
481.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71891
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89313
698.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18755
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173383
222.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172252
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32818
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34722
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
1801
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7218
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8282
143.1 IPS |
