iPad15,7
Geekbench AI Score
3580
Single Precision Score
6265
Half Precision Score
5111
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 13 2025 10:17 AM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14896
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12637
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2916
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2101
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6173
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6134
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11715
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8139
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18437
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29791
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24742
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5158
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4778
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7170
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.2 IPS |
