iPhone 12
Geekbench AI Score
2640
Single Precision Score
4403
Half Precision Score
3686
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 10:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2127
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4886
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
9783
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8918
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
97% |
2157
171.7 IPS |
|
|
Object Detection (Q)
|
94% |
1531
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2612
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4592
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9037
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6388
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12802
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20663
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17920
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2972
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3578
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3258
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3692
63.8 IPS |
