iPhone 12 Pro
Geekbench AI Score
1927
Single Precision Score
2164
Half Precision Score
2074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
373
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (Q)
|
96% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1629
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9030
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8172
9.58 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
92% |
613
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
3124
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3943
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5411
41.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5271
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12749
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13616
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13183
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1412
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3615
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.56 IPS |
