iPad16,3
Geekbench AI Score
4621
Single Precision Score
32037
Half Precision Score
44684
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:21 AM |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
17182
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24230
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16445
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20759
336.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123385
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231432
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
100% |
17942
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25021
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
41969
498.7 IPS |
|
|
Face Detection (Q)
|
100% |
60153
714.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98491
758.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167661
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25034
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170438
219.1 IPS |
|
|
Style Transfer (Q)
|
96% |
203399
262.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49592
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84706
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6043
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3613
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8625
148.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17358
300.0 IPS |
