iPad15,7
Geekbench AI Score
2875
Single Precision Score
3195
Half Precision Score
2861
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 03:11 AM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
918
170.8 IPS |
|
|
Image Classification (Q)
|
96% |
567
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2248
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10300
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9881
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
888
70.4 IPS |
|
|
Object Detection (Q)
|
92% |
673
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
4266
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7173
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7719
59.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6375
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17474
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19467
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18849
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2457
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4739
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
728
12.6 IPS |
