iPad15,7
Geekbench AI Score
3620
Single Precision Score
22189
Half Precision Score
25146
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:56 AM |
| Views | 3 |
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% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
8817
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11007
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16185
262.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19117
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6743
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
95922
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102622
120.3 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
12346
979.3 IPS |
|
|
Object Detection (Q)
|
91% |
14623
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
30960
367.9 IPS |
|
|
Face Detection (Q)
|
100% |
39128
464.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6192
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71790
553.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89266
697.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18969
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172388
221.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171814
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32596
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35830
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1828
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7186
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8146
140.8 IPS |
