iPhone 12
Geekbench AI Score
1378
Single Precision Score
2257
Half Precision Score
1849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 09:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
566
105.3 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (Q)
|
96% |
614
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
5118
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
97% |
967
77.0 IPS |
|
|
Object Detection (Q)
|
94% |
710
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (Q)
|
100% |
1318
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2240
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4043
31.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2858
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7123
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
11443
14.7 IPS |
|
|
Style Transfer (Q)
|
96% |
9451
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1478
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1792
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2179
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2177
37.6 IPS |
