iPad16,3
Geekbench AI Score
7861
Single Precision Score
8984
Half Precision Score
8046
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4134
768.7 IPS |
|
|
Image Classification (HP)
|
100% |
4515
839.7 IPS |
|
|
Image Classification (Q)
|
99% |
4111
766.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6339
102.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6045
98.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27718
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29940
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
27539
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
4924
390.5 IPS |
|
|
Object Detection (Q)
|
92% |
3910
312.1 IPS |
|
|
Face Detection (SP)
|
100% |
11714
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
14868
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
10805
128.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19637
151.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22173
170.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
22229
171.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57152
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67017
86.2 IPS |
|
|
Style Transfer (Q)
|
100% |
66347
85.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11302
417.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12577
464.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9796
362.9 IPS |
|
|
Text Classification (SP)
|
100% |
1620
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (Q)
|
93% |
1263
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2157
37.3 IPS |
