iPad15,7
Geekbench AI Score
3441
Single Precision Score
22918
Half Precision Score
25770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
9638
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
10607
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16227
263.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19073
309.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6282
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
95478
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102816
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
12414
984.7 IPS |
|
|
Object Detection (Q)
|
91% |
13291
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
31591
375.4 IPS |
|
|
Face Detection (Q)
|
100% |
39826
473.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72034
555.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90060
704.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18463
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
171037
219.9 IPS |
|
|
Style Transfer (Q)
|
96% |
170838
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3863
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32587
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35522
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2621
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7114
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8190
141.5 IPS |
