iPhone 12 Pro
Geekbench AI Score
2757
Single Precision Score
4936
Half Precision Score
4049
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | thecanadienguy |
| Upload Date | April 04 2026 12:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
10338
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9207
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1189
94.3 IPS |
|
|
Object Detection (HP)
|
97% |
2242
178.5 IPS |
|
|
Object Detection (Q)
|
94% |
1586
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
2461
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2640
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4511
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8808
68.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6394
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12367
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21547
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18593
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3106
114.7 IPS |
|
|
Text Classification (SP)
|
99% |
4047
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6623
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6542
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2226
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4056
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4042
69.8 IPS |
