iPhone 12 Pro Max
Geekbench AI Score
2771
Single Precision Score
11905
Half Precision Score
12122
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
4307
800.9 IPS |
|
|
Image Classification (Q)
|
96% |
4623
863.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7925
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7909
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5326
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
60576
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
61256
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
5683
452.1 IPS |
|
|
Object Detection (Q)
|
91% |
5386
430.3 IPS |
|
|
Face Detection (SP)
|
100% |
2596
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
11251
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
9931
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4839
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33185
255.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35216
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13509
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94344
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
92434
119.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18977
700.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19079
704.5 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4141
71.6 IPS |
