iPhone 12
Geekbench AI Score
1597
Single Precision Score
10175
Half Precision Score
8450
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 02:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
4361
811.0 IPS |
|
|
Image Classification (Q)
|
96% |
4485
837.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
418
6.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
4357
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
58781
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
58965
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
99% |
5429
431.9 IPS |
|
|
Object Detection (Q)
|
93% |
5111
407.8 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
11072
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
10399
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2867
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34071
262.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42199
329.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8299
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
92771
119.3 IPS |
|
|
Style Transfer (Q)
|
96% |
99542
128.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14471
534.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16410
605.9 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1825
31.5 IPS |
