iPhone 12
Geekbench AI Score
1635
Single Precision Score
8717
Half Precision Score
8657
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
2898
539.0 IPS |
|
|
Image Classification (Q)
|
96% |
3054
570.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5203
84.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5282
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
37209
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36849
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
99% |
3629
288.7 IPS |
|
|
Object Detection (Q)
|
91% |
3238
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7149
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
6771
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2671
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24491
188.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
23596
184.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8508
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66460
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64443
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13563
500.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13708
506.2 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2171
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4011
69.3 IPS |
