iPad15,7
Geekbench AI Score
3439
Single Precision Score
6265
Half Precision Score
5114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:26 AM |
| Views | 7 |
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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2622
487.6 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6350
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15152
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12726
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.8 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6226
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3553
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5976
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11747
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8168
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18450
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29167
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24239
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3928
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7110
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
