iPad16,1
Geekbench AI Score
4009
Single Precision Score
24994
Half Precision Score
35348
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 01:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1752
325.9 IPS |
|
|
Image Classification (HP)
|
100% |
10800
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15885
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15773
255.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22235
360.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7638
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
107207
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204878
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
13733
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19118
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
35465
421.4 IPS |
|
|
Face Detection (Q)
|
100% |
51106
607.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7064
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78153
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128521
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20626
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205332
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
253424
327.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34166
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56878
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3160
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6336
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7360
127.2 IPS |
