iPhone 12
Geekbench AI Score
957
Single Precision Score
1810
Half Precision Score
1490
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
187
34.7 IPS |
|
|
Image Classification (HP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (Q)
|
96% |
255
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
361
5.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
2895
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
97% |
1020
81.2 IPS |
|
|
Object Detection (Q)
|
94% |
743
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
2275
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
1215
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2086
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4734
36.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3258
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5918
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
10909
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
9415
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1446
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2754
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1660
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1846
31.9 IPS |
