iPad16,3
Geekbench AI Score
4621
Single Precision Score
36497
Half Precision Score
51650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 05:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
17249
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25515
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21846
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30190
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9787
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123006
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230614
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
18386
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25500
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3817
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
42902
509.8 IPS |
|
|
Face Detection (Q)
|
100% |
62640
744.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98654
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171157
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24797
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234130
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297405
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48477
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85265
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15758
271.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17316
299.2 IPS |
