iPad15,7
Geekbench AI Score
3631
Single Precision Score
6291
Half Precision Score
5140
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:20 PM |
| Views | 6 |
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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
2641
491.1 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15217
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12992
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6190
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6211
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11785
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8180
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18958
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29902
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24792
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3902
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4821
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7176
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7113
122.9 IPS |
