iPhone 12 Pro
Geekbench AI Score
1755
Single Precision Score
1992
Half Precision Score
1827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | evodomgeek |
| Upload Date | February 23 2025 02:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
344
64.0 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
97% |
355
66.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6232
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
8348
9.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
7098
8.32 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
91% |
554
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
2537
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3205
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5422
41.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4757
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12521
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13340
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12534
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1407
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
98% |
266
4.59 IPS |
