iPad15,7
Geekbench AI Score
2848
Single Precision Score
3191
Half Precision Score
2900
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 01 2025 04:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
510
94.8 IPS |
|
|
Image Classification (HP)
|
100% |
826
153.7 IPS |
|
|
Image Classification (Q)
|
96% |
567
105.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2259
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9495
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9894
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (Q)
|
92% |
674
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4915
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7662
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6425
49.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6965
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17468
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19449
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18855
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2770
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2536
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
723
12.5 IPS |
