iPhone 12 Pro
Geekbench AI Score
2242
Single Precision Score
3426
Half Precision Score
2815
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 09:20 AM |
| Views | 5 |
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% |
1166
216.8 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (Q)
|
99% |
1476
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
8975
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7487
8.77 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (HP)
|
97% |
1643
130.8 IPS |
|
|
Object Detection (Q)
|
94% |
1237
98.6 IPS |
|
|
Face Detection (SP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
2046
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3993
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6463
49.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3154
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10173
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17371
22.3 IPS |
|
|
Style Transfer (Q)
|
100% |
17511
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2584
95.7 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2941
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2566
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2668
46.1 IPS |
