iPhone 12
Geekbench AI Score
793
Single Precision Score
6464
Half Precision Score
5069
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
2700
502.1 IPS |
|
|
Image Classification (Q)
|
96% |
2762
515.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
199
3.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
2387
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
32411
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32756
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (HP)
|
99% |
3354
266.8 IPS |
|
|
Object Detection (Q)
|
93% |
2968
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
795
9.45 IPS |
|
|
Face Detection (HP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
6209
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1390
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22663
174.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24397
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4156
5.34 IPS |
|
|
Style Transfer (HP)
|
100% |
60498
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
60352
77.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9819
362.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10786
398.3 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.3 IPS |
|
|
Text Classification (HP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2008
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
