iPad15,7
Geekbench AI Score
3566
Single Precision Score
22713
Half Precision Score
26079
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 26 2025 06:52 PM |
| Views | 11 |
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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
8117
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
11157
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16237
263.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19099
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6412
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
96916
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102301
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12938
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14421
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
31078
369.3 IPS |
|
|
Face Detection (Q)
|
100% |
39557
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70574
543.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
88666
693.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18498
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172752
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171757
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32612
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35532
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2641
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7092
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8189
141.5 IPS |
