iPad15,7
Geekbench AI Score
3456
Single Precision Score
21614
Half Precision Score
24998
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:23 AM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
8588
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
10753
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13623
220.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19088
309.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
95151
111.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102412
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12297
975.4 IPS |
|
|
Object Detection (Q)
|
91% |
14444
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
31587
375.3 IPS |
|
|
Face Detection (Q)
|
100% |
39957
474.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5980
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71421
550.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
90080
704.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171054
219.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172229
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32483
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34921
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
1764
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7033
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8221
142.1 IPS |
