iPhone 12
Geekbench AI Score
1664
Single Precision Score
2896
Half Precision Score
2360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
96% |
753
140.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
7441
8.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
6379
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
97% |
1188
94.6 IPS |
|
|
Object Detection (Q)
|
94% |
929
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (Q)
|
100% |
1704
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2905
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5461
42.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3679
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8539
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13585
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11462
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1916
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2362
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2876
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2866
49.5 IPS |
