iPad16,3
Geekbench AI Score
4643
Single Precision Score
37122
Half Precision Score
52418
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:39 AM |
| Views | 16 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
17367
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
29059
5.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22111
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30294
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10052
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123492
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230080
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
19137
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26447
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43208
513.4 IPS |
|
|
Face Detection (Q)
|
100% |
63360
752.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99044
763.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167742
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25076
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229305
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297957
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48500
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82424
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6773
9.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16990
292.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18765
324.3 IPS |
