iPad15,7
Geekbench AI Score
2845
Single Precision Score
3270
Half Precision Score
2808
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 08:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
961
178.8 IPS |
|
|
Image Classification (Q)
|
96% |
475
88.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9541
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10094
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9759
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (Q)
|
92% |
860
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
3312
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6657
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6378
49.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6508
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17645
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19481
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18639
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2492
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4819
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4746
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
