iPad15,7
Geekbench AI Score
3488
Single Precision Score
23038
Half Precision Score
26149
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 26 2025 03:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
9733
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
12074
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13691
221.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18312
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6177
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
100987
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102832
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
12996
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15517
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31156
370.2 IPS |
|
|
Face Detection (Q)
|
100% |
39939
474.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75351
580.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
97434
761.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18806
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
177370
228.0 IPS |
|
|
Style Transfer (Q)
|
96% |
177303
228.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33326
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37270
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1939
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7593
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8499
146.9 IPS |
