iPad15,7
Geekbench AI Score
3626
Single Precision Score
22620
Half Precision Score
25418
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:25 PM |
| Views | 17 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
9634
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11634
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15711
254.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19199
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6970
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
97701
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102529
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
12394
983.1 IPS |
|
|
Object Detection (Q)
|
91% |
14193
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
30447
361.8 IPS |
|
|
Face Detection (Q)
|
100% |
39536
469.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6210
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71680
552.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
92063
719.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19229
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
171159
220.0 IPS |
|
|
Style Transfer (Q)
|
96% |
170289
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32620
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36511
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1877
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7168
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8154
140.9 IPS |
