iPad16,1
Geekbench AI Score
4076
Single Precision Score
25154
Half Precision Score
35489
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JohnnySun |
| Upload Date | November 11 2024 06:31 AM |
| Views | 3 |
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 | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1750
325.4 IPS |
|
|
Image Classification (HP)
|
100% |
11138
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15458
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15780
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21048
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8059
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
107045
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203982
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
13744
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19140
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
35196
418.2 IPS |
|
|
Face Detection (Q)
|
100% |
51158
607.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79186
610.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127731
998.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21435
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207008
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
253345
326.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34277
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61141
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3320
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7426
128.3 IPS |
