iPhone 12 Pro
Geekbench AI Score
1468
Single Precision Score
1535
Half Precision Score
1443
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 09:11 AM |
| Views | 5 |
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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
316
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1507
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
5980
7.01 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
92% |
637
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
100% |
2482
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5359
41.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
5488
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11435
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13393
17.2 IPS |
|
|
Style Transfer (Q)
|
100% |
13324
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.1 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.3 IPS |
|
|
Text Classification (Q)
|
93% |
166
222.6 IPS |
|
|
Machine Translation (SP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.64 IPS |
