iPad15,7
Geekbench AI Score
2890
Single Precision Score
3199
Half Precision Score
2904
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:23 AM |
| Views | 2 |
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% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (Q)
|
96% |
566
105.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2171
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9305
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10251
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9681
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (Q)
|
92% |
838
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (Q)
|
100% |
4311
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7528
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7903
60.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6420
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17434
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19321
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18797
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2900
107.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2463
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
