iPad15,5
Geekbench AI Score
4114
Single Precision Score
6985
Half Precision Score
5631
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 08:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.1 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8881
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17375
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15039
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3264
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6811
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13497
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9338
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22413
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34072
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28254
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5092
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5075
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5781
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
