iPad16,2
Geekbench AI Score
3990
Single Precision Score
6984
Half Precision Score
5705
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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
322.4 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7962
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16142
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13935
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
3341
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2378
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3312
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6993
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
3852
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6859
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12975
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9068
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20691
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34066
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27652
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7161
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7245
125.2 IPS |
