iPad15,7
Geekbench AI Score
3644
Single Precision Score
6389
Half Precision Score
5178
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.5 IPS |
|
|
Image Classification (Q)
|
96% |
1831
341.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15310
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13021
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1575
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2967
236.2 IPS |
|
|
Object Detection (Q)
|
94% |
2123
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6190
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3533
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6239
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11889
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8275
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30162
38.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24940
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3990
147.3 IPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4920
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4866
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7176
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7189
124.2 IPS |
