iPad16,2
Geekbench AI Score
4041
Single Precision Score
7102
Half Precision Score
5754
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 02:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3066
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16446
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14324
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
97% |
3354
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
7028
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7031
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13141
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9116
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21413
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34433
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27976
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7315
126.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7244
125.2 IPS |
