iPhone 12
Geekbench AI Score
2494
Single Precision Score
12301
Half Precision Score
12405
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 11:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1044
194.1 IPS |
|
|
Image Classification (HP)
|
100% |
5070
942.8 IPS |
|
|
Image Classification (Q)
|
96% |
5252
980.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8023
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8369
135.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
62979
73.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
61059
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
99% |
6136
488.1 IPS |
|
|
Object Detection (Q)
|
91% |
5119
409.1 IPS |
|
|
Face Detection (SP)
|
100% |
2464
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
12380
147.1 IPS |
|
|
Face Detection (Q)
|
100% |
10820
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4513
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36042
277.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35554
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12626
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98833
127.1 IPS |
|
|
Style Transfer (Q)
|
96% |
92278
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18041
666.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18187
671.5 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4466
77.2 IPS |
