iPad15,7
Geekbench AI Score
3451
Single Precision Score
21951
Half Precision Score
24695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.45 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
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
9000
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10961
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15910
257.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19144
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
95316
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102357
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
100% |
12437
986.5 IPS |
|
|
Object Detection (Q)
|
91% |
14120
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
29445
349.9 IPS |
|
|
Face Detection (Q)
|
100% |
37859
449.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72340
557.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91017
711.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18760
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172148
221.3 IPS |
|
|
Style Transfer (Q)
|
96% |
173226
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32353
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34666
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1812
2.42 KIPS |
|
|
Text Classification (Q)
|
93% |
1645
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7119
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8174
141.3 IPS |
