iPad14,8
Geekbench AI Score
3212
Single Precision Score
4740
Half Precision Score
3930
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mexa |
| Upload Date | August 26 2024 05:03 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.9 IPS |
|
|
Image Classification (Q)
|
99% |
1907
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1295
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6097
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14435
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12304
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2262
180.1 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2882
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8614
66.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4399
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17338
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26980
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26981
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3538
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3088
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2880
49.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4514
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4492
77.6 IPS |
