iPad15,7
Geekbench AI Score
3419
Single Precision Score
22773
Half Precision Score
26004
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:59 AM |
| Views | 7 |
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
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
8848
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10706
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16270
263.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19085
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6134
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
96939
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102202
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
12344
979.1 IPS |
|
|
Object Detection (Q)
|
91% |
13980
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31634
375.9 IPS |
|
|
Face Detection (Q)
|
100% |
40841
485.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5960
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71446
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89086
696.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18018
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
171498
220.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172359
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33500
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35841
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2618
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7148
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8233
142.3 IPS |
