iPad14,4
Geekbench AI Score
2352
Single Precision Score
12160
Half Precision Score
13555
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:25 AM |
| Views | 10 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
7322
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
7573
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8093
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
86558
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
88842
104.1 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
8346
663.9 IPS |
|
|
Object Detection (Q)
|
93% |
8721
695.9 IPS |
|
|
Face Detection (SP)
|
100% |
2491
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
11348
134.8 IPS |
|
|
Face Detection (Q)
|
100% |
13108
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4124
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47306
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
56679
442.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11063
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138011
177.4 IPS |
|
|
Style Transfer (Q)
|
95% |
124097
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3148
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19017
702.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25166
929.3 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2389
41.3 IPS |
