iPad16,2
Geekbench AI Score
3913
Single Precision Score
24784
Half Precision Score
34264
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 03:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
11301
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
16084
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12989
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16040
260.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7517
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
102365
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
205066
240.4 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
13932
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19275
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
33966
403.6 IPS |
|
|
Face Detection (Q)
|
100% |
49386
586.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6798
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78735
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126757
991.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19954
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205912
264.7 IPS |
|
|
Style Transfer (Q)
|
96% |
252271
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34382
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56373
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3196
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6733
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7688
132.9 IPS |
