iPad15,7
Geekbench AI Score
3569
Single Precision Score
6237
Half Precision Score
5063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1434
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2565
477.1 IPS |
|
|
Image Classification (Q)
|
96% |
1751
327.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6767
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15063
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12806
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2068
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6072
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6093
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11624
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8006
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18704
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29691
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24467
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3901
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4993
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7166
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6811
117.7 IPS |
