iPhone 12 Pro Max
Geekbench AI Score
2699
Single Precision Score
4606
Half Precision Score
3796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2132
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
10839
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9567
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2171
172.9 IPS |
|
|
Object Detection (Q)
|
94% |
1585
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2652
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4703
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9056
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6364
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13295
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22405
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18893
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2809
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3114
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
2072
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3494
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4101
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4061
70.2 IPS |
