iPhone 12 Pro
Geekbench AI Score
2369
Single Precision Score
3606
Half Precision Score
3190
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 14 2024 05:33 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (Q)
|
96% |
1194
222.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1511
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4806
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
10163
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9033
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (HP)
|
97% |
1727
137.5 IPS |
|
|
Object Detection (Q)
|
94% |
1346
107.3 IPS |
|
|
Face Detection (SP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
2251
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4288
33.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
6899
53.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5289
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11933
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19732
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17302
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3041
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2909
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2731
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2730
47.2 IPS |
