iPad15,7
Geekbench AI Score
3623
Single Precision Score
22508
Half Precision Score
26232
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:32 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (HP)
|
100% |
8166
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
11091
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14550
235.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17048
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
100839
117.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102473
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
12574
997.3 IPS |
|
|
Object Detection (Q)
|
91% |
14877
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
30629
363.9 IPS |
|
|
Face Detection (Q)
|
100% |
38402
456.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6198
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72029
554.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90751
709.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
171672
220.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174666
225.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32602
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36659
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2928
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7119
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8194
141.6 IPS |
