iPad16,5
Geekbench AI Score
8916
Single Precision Score
10329
Half Precision Score
9352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | November 02 2024 03:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4581
851.9 IPS |
|
|
Image Classification (HP)
|
100% |
4841
900.3 IPS |
|
|
Image Classification (Q)
|
97% |
4097
764.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4867
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6685
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7122
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28164
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30025
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28612
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4715
374.0 IPS |
|
|
Object Detection (HP)
|
100% |
5171
410.2 IPS |
|
|
Object Detection (Q)
|
91% |
4424
353.5 IPS |
|
|
Face Detection (SP)
|
100% |
12707
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16275
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
11939
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20481
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22225
171.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19114
149.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58372
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67731
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63731
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11629
429.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12725
469.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10283
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1655
28.6 IPS |
