iPad16,1
Geekbench AI Score
3985
Single Precision Score
24939
Half Precision Score
33572
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rthiemann |
| Upload Date | December 20 2024 07:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
11335
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
14952
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15808
256.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21237
344.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7732
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105607
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205154
240.5 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
13888
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19052
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
34648
411.7 IPS |
|
|
Face Detection (Q)
|
100% |
50996
605.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7043
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78426
604.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
129340
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20874
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205500
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
252859
326.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34229
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54505
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2137
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6278
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7544
130.4 IPS |
