iPhone 12 Pro
Geekbench AI Score
1754
Single Precision Score
2017
Half Precision Score
1855
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
97% |
312
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8003
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
91% |
569
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
2620
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3456
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5481
42.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4682
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12714
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13492
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12702
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1408
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
98% |
294
5.08 IPS |
