iPhone 12
Geekbench AI Score
2691
Single Precision Score
4490
Half Precision Score
3765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 10:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.8 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5333
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
10438
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9261
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2187
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1580
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2527
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2654
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4773
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9437
73.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6581
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12932
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21036
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18370
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3007
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2262
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3254
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3748
64.8 IPS |
