iPhone 12
Geekbench AI Score
2686
Single Precision Score
12187
Half Precision Score
11942
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:38 AM |
| Views | 5 |
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% |
1226
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
3999
743.8 IPS |
|
|
Image Classification (Q)
|
96% |
3971
741.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8312
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
59057
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59978
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (HP)
|
99% |
5979
475.6 IPS |
|
|
Object Detection (Q)
|
91% |
4779
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11789
140.1 IPS |
|
|
Face Detection (Q)
|
100% |
10254
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4709
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35573
274.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
33117
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13135
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94065
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
102070
131.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17539
647.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17831
658.4 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2381
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4240
73.3 IPS |
