iPhone 12
Geekbench AI Score
1712
Single Precision Score
1980
Half Precision Score
1871
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
97% |
313
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1474
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6120
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8748
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7819
9.16 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
91% |
611
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
2557
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3454
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5556
42.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4679
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12728
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13440
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12782
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1441
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3355
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
98% |
324
5.60 IPS |
