iPad15,7
Geekbench AI Score
3478
Single Precision Score
24186
Half Precision Score
27298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 08:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
9891
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
12127
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16279
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19504
316.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
101957
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104797
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
12802
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15492
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31525
374.6 IPS |
|
|
Face Detection (Q)
|
100% |
39330
467.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5861
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75396
580.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95545
747.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17405
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
179985
231.4 IPS |
|
|
Style Transfer (Q)
|
96% |
181920
234.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3982
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32031
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38586
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2741
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7739
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8277
143.0 IPS |
