iPhone 12 Pro Max
Geekbench AI Score
2728
Single Precision Score
4643
Half Precision Score
3864
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:39 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.3 IPS |
|
|
Image Classification (Q)
|
96% |
1371
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2159
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9852
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
2153
171.4 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4633
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
2714
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8985
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6443
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13293
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22603
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19579
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2869
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3155
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4098
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4105
70.9 IPS |
