iPad15,7
Geekbench AI Score
3628
Single Precision Score
22139
Half Precision Score
24942
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 20 2025 06:50 PM |
| Views | 5 |
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% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
8759
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
11100
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15094
244.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19130
310.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
97870
114.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102292
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.4 IPS |
|
|
Object Detection (HP)
|
100% |
12557
996.0 IPS |
|
|
Object Detection (Q)
|
91% |
14085
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30780
365.7 IPS |
|
|
Face Detection (Q)
|
100% |
39074
464.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6166
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71711
552.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89172
697.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18976
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171825
220.9 IPS |
|
|
Style Transfer (Q)
|
96% |
172171
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32589
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35875
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1711
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3703
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7254
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8271
142.9 IPS |
