iPad16,2
Geekbench AI Score
3971
Single Precision Score
25301
Half Precision Score
35433
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 28 2025 09:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.75 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
12481
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
17804
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15712
254.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20600
333.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7452
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
106789
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
205031
240.3 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
13702
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18663
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3371
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
34494
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
50388
598.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7198
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78101
601.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127559
997.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21726
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
206304
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
252858
326.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5152
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34222
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58836
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3177
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7318
126.5 IPS |
