iPhone 12
Geekbench AI Score
2330
Single Precision Score
12671
Half Precision Score
12601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 03:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1172
218.0 IPS |
|
|
Image Classification (HP)
|
100% |
5082
945.1 IPS |
|
|
Image Classification (Q)
|
96% |
5104
953.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7317
118.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7705
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3346
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
59805
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58567
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.5 IPS |
|
|
Object Detection (HP)
|
99% |
5669
450.9 IPS |
|
|
Object Detection (Q)
|
91% |
5758
460.1 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
12384
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
11053
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4209
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38571
297.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
38610
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11677
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
97014
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
91789
118.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18490
682.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18305
675.9 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2324
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4569
79.0 IPS |
