iPhone 12 Pro
Geekbench AI Score
1554
Single Precision Score
1537
Half Precision Score
1411
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 12:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
317
59.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1546
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6061
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6448
7.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
6090
7.14 IPS |
|
|
Object Detection (SP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
92% |
601
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (Q)
|
100% |
2532
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5250
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5553
42.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
5430
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11291
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12956
16.7 IPS |
|
|
Style Transfer (Q)
|
100% |
13028
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1269
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.3 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.8 IPS |
|
|
Text Classification (Q)
|
93% |
168
225.1 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
98% |
457
7.89 IPS |
