iPad15,7
Geekbench AI Score
3417
Single Precision Score
6215
Half Precision Score
5084
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 05:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2600
483.5 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15137
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12841
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1467
116.4 IPS |
|
|
Object Detection (HP)
|
97% |
2943
234.3 IPS |
|
|
Object Detection (Q)
|
94% |
2110
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6213
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3540
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5998
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11756
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8173
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18481
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29180
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24253
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3866
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4551
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4571
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7067
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7048
121.8 IPS |
