iPhone 12
Geekbench AI Score
1804
Single Precision Score
2047
Half Precision Score
1974
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | October 10 2024 10:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
97% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9198
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8107
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.1 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
91% |
646
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
2629
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4314
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5672
43.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4607
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12707
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13959
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
12966
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1630
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3556
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
98% |
395
6.82 IPS |
