iPhone 12 Pro Max
Geekbench AI Score
2734
Single Precision Score
12538
Half Precision Score
12216
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
4651
864.9 IPS |
|
|
Image Classification (Q)
|
96% |
5049
942.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8106
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7392
119.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5042
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
60084
70.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60262
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
99% |
5506
438.0 IPS |
|
|
Object Detection (Q)
|
91% |
4861
388.4 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
12276
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
9933
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4887
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37292
287.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
35978
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13991
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
101304
130.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97746
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20033
739.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19502
720.1 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4077
70.5 IPS |
