iPhone 12 Pro
Geekbench AI Score
1777
Single Precision Score
10315
Half Precision Score
10635
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | visy |
| Upload Date | August 17 2024 02:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
4585
852.7 IPS |
|
|
Image Classification (Q)
|
99% |
5143
959.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
3840
62.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3839
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4701
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
61434
71.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
58239
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
99% |
5198
413.5 IPS |
|
|
Object Detection (Q)
|
93% |
4783
381.6 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
11282
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
10883
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33471
257.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
40765
315.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93070
119.6 IPS |
|
|
Style Transfer (Q)
|
100% |
98935
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2206
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13670
504.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16664
617.4 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2718
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1694
29.3 IPS |
