iPhone 12
Geekbench AI Score
1871
Single Precision Score
2179
Half Precision Score
2093
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
96% |
340
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1651
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6085
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8041
9.43 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
92% |
617
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5560
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5181
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12346
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13616
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13270
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1386
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.82 IPS |
