iPad15,7
Geekbench AI Score
2889
Single Precision Score
3222
Half Precision Score
3171
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:23 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% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
96% |
916
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9543
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10408
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10056
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (HP)
|
100% |
1020
80.9 IPS |
|
|
Object Detection (Q)
|
92% |
986
78.7 IPS |
|
|
Face Detection (SP)
|
100% |
4652
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6809
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6620
51.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6233
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17601
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18961
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2861
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2677
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4735
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4710
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
