iPhone 12 Pro Max
Geekbench AI Score
2680
Single Precision Score
4712
Half Precision Score
3978
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (Q)
|
96% |
1418
264.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
11120
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9847
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
97% |
2198
175.0 IPS |
|
|
Object Detection (Q)
|
94% |
1647
131.3 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
2748
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9232
71.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6674
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13325
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22656
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19427
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2731
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3244
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3940
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4215
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4315
74.6 IPS |
