iPhone 12 Pro Max
Geekbench AI Score
2761
Single Precision Score
4701
Half Precision Score
3889
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iClondike |
| Upload Date | September 03 2025 10:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
11192
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9808
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1602
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4647
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2738
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9085
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6477
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13519
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22974
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19750
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3168
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4162
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4154
71.8 IPS |
