iPad15,7
Geekbench AI Score
3421
Single Precision Score
6252
Half Precision Score
5112
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2669
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6393
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12823
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.7 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6197
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11680
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8102
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18465
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29210
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24287
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7049
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
