iPad16,1
Geekbench AI Score
4019
Single Precision Score
24942
Half Precision Score
34873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1744
324.4 IPS |
|
|
Image Classification (HP)
|
100% |
11237
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
14652
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16043
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21199
343.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7773
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
107123
125.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205463
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
13997
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19361
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
34809
413.6 IPS |
|
|
Face Detection (Q)
|
100% |
51572
612.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78543
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126813
991.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20947
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
208337
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
253505
327.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34299
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57559
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3050
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7398
127.9 IPS |
