iPad16,2
Geekbench AI Score
3725
Single Precision Score
4245
Half Precision Score
4044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
912
169.7 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.2 IPS |
|
|
Image Classification (Q)
|
97% |
1116
208.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3149
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3446
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13068
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13492
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12934
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (Q)
|
91% |
1502
120.0 IPS |
|
|
Face Detection (SP)
|
100% |
4896
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
5473
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
5487
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10512
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11210
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9442
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27382
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30705
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29225
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3891
143.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3475
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
98% |
526
9.09 IPS |
