iPhone 12 Pro
Geekbench AI Score
1820
Single Precision Score
9474
Half Precision Score
5210
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | November 25 2024 01:56 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
4305
800.5 IPS |
|
|
Image Classification (Q)
|
94% |
4491
839.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
591
9.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2515
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
59792
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58782
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (HP)
|
99% |
5401
429.6 IPS |
|
|
Object Detection (Q)
|
93% |
5087
405.9 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
11403
135.5 IPS |
|
|
Face Detection (Q)
|
100% |
535
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
3265
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33366
257.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
39395
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9213
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94284
121.2 IPS |
|
|
Style Transfer (Q)
|
25% |
3795
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12365
456.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12310
454.6 IPS |
|
|
Text Classification (SP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1922
33.2 IPS |
