iPhone 12
Geekbench AI Score
2671
Single Precision Score
13070
Half Precision Score
12911
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
4890
909.3 IPS |
|
|
Image Classification (Q)
|
96% |
5111
954.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8692
140.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8943
145.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4884
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
61632
71.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
61976
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
99% |
5846
465.1 IPS |
|
|
Object Detection (Q)
|
91% |
4951
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
2499
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
14117
167.7 IPS |
|
|
Face Detection (Q)
|
100% |
11348
134.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4601
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
37264
287.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
34223
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12953
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96953
124.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99320
128.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2807
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18339
677.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18864
696.6 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2265
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5569
96.2 IPS |
