iPad14,4
Geekbench AI Score
2351
Single Precision Score
12231
Half Precision Score
12962
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
7387
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
7803
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5081
82.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5073
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
87782
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
84578
99.2 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
99% |
8353
664.5 IPS |
|
|
Object Detection (Q)
|
93% |
8875
708.1 IPS |
|
|
Face Detection (SP)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
11331
134.6 IPS |
|
|
Face Detection (Q)
|
100% |
13524
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4125
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48009
369.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
52595
406.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11067
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137836
177.2 IPS |
|
|
Style Transfer (Q)
|
100% |
137918
177.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3162
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19020
702.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24169
895.4 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2382
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2377
41.1 IPS |
