iPad15,7
Geekbench AI Score
3608
Single Precision Score
6317
Half Precision Score
5116
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 02:29 AM |
| Views | 5 |
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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.0 IPS |
|
|
Image Classification (Q)
|
96% |
1810
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15215
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12823
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6156
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11709
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8174
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29887
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24515
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5492
202.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3925
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7138
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7106
122.8 IPS |
