iPad15,7
Geekbench AI Score
2945
Single Precision Score
3068
Half Precision Score
2890
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
96% |
579
108.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9423
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10354
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9840
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
980
77.7 IPS |
|
|
Object Detection (HP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
679
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
4308
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7784
60.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6160
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17651
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18883
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2598
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
748
12.9 IPS |
