iPhone 12
Geekbench AI Score
2621
Single Precision Score
12604
Half Precision Score
12414
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 11:41 PM |
| Views | 1 |
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% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
4966
923.6 IPS |
|
|
Image Classification (Q)
|
96% |
5017
936.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7997
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8593
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4587
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
60243
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60867
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
99% |
5524
439.4 IPS |
|
|
Object Detection (Q)
|
91% |
4811
384.5 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
12225
145.3 IPS |
|
|
Face Detection (Q)
|
100% |
10474
124.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4490
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36542
281.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
34357
268.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12129
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
101690
130.7 IPS |
|
|
Style Transfer (Q)
|
96% |
97954
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19672
726.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19194
708.7 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4487
77.5 IPS |
