iPhone 12 Pro Max
Geekbench AI Score
2756
Single Precision Score
4678
Half Precision Score
3898
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 09:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2164
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5486
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9927
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
97% |
2201
175.2 IPS |
|
|
Object Detection (Q)
|
94% |
1603
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4661
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2740
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4849
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9227
71.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6486
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13592
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23277
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19924
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3177
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4153
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4163
71.9 IPS |
