iPhone 12 Pro Max
Geekbench AI Score
2712
Single Precision Score
4766
Half Precision Score
3991
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (Q)
|
96% |
1445
269.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2184
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5261
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
11189
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10039
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
97% |
2249
179.0 IPS |
|
|
Object Detection (Q)
|
94% |
1664
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2760
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9298
71.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6751
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13389
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22782
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19818
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4153
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3231
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4216
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4239
73.3 IPS |
