iPhone 12
Geekbench AI Score
1788
Single Precision Score
2005
Half Precision Score
1845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 01:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
97% |
307
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
8936
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8032
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
91% |
563
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
2595
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4130
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5479
42.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4592
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12640
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13448
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12759
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1403
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3547
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.14 IPS |
