iPhone 12 Pro
Geekbench AI Score
1759
Single Precision Score
1973
Half Precision Score
1819
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urix |
| Upload Date | February 22 2025 08:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
97% |
321
59.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1478
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8389
9.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
7572
8.88 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
91% |
581
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
3312
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
2595
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4344
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5499
42.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4645
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12702
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13458
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12733
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1377
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1354
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3521
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
98% |
260
4.49 IPS |
