iPhone 12
Geekbench AI Score
1589
Single Precision Score
8672
Half Precision Score
8648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:18 PM |
| 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% |
661
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
2874
534.4 IPS |
|
|
Image Classification (Q)
|
96% |
3058
571.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5063
82.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5529
89.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
37277
43.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
36801
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (HP)
|
99% |
3631
288.8 IPS |
|
|
Object Detection (Q)
|
91% |
3222
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
7107
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
6718
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2661
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24496
188.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
23562
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8450
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66400
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64234
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13536
499.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13626
503.1 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2114
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3988
68.9 IPS |
