iPad16,3
Geekbench AI Score
4705
Single Precision Score
36494
Half Precision Score
51341
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 08:21 PM |
| Views | 1 |
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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
17312
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24766
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22079
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30507
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124296
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233376
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
18380
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25666
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43492
516.8 IPS |
|
|
Face Detection (Q)
|
100% |
63115
749.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98762
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167617
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25025
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233708
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297626
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48738
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83092
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5982
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16396
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17973
310.6 IPS |
