iPad16,5
Geekbench AI Score
4703
Single Precision Score
36665
Half Precision Score
51504
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 04:46 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
18013
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24749
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22088
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30491
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123817
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232791
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
18448
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25906
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43351
515.1 IPS |
|
|
Face Detection (Q)
|
100% |
62990
748.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98841
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169432
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25082
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
231946
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297892
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48935
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83717
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6065
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6011
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16382
282.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18042
311.8 IPS |
