iPad15,7
Geekbench AI Score
2783
Single Precision Score
3118
Half Precision Score
2907
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | April 29 2025 07:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
522
97.1 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.7 IPS |
|
|
Image Classification (Q)
|
96% |
568
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2302
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9445
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9835
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
92% |
852
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
3665
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6076
46.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6172
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17626
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19464
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18558
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2866
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2548
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
722
12.5 IPS |
