iPad15,7
Geekbench AI Score
3582
Single Precision Score
6263
Half Precision Score
5120
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2598
483.2 IPS |
|
|
Image Classification (Q)
|
96% |
1802
336.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6701
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15262
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12760
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.2 IPS |
|
|
Object Detection (HP)
|
97% |
2949
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6160
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6209
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11785
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8140
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18374
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29851
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24743
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4026
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3929
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4780
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7106
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7142
123.4 IPS |
