iPad15,7
Geekbench AI Score
3443
Single Precision Score
21925
Half Precision Score
25046
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:31 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1324
246.2 IPS |
|
|
Image Classification (HP)
|
100% |
9840
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
10805
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16289
264.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19032
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
98433
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102156
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
12020
953.4 IPS |
|
|
Object Detection (Q)
|
91% |
13922
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
28262
335.8 IPS |
|
|
Face Detection (Q)
|
100% |
37949
450.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5983
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71493
550.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89393
698.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18865
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
170023
218.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171057
220.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32530
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34707
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2661
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2078
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7938
137.2 IPS |
