iPhone 12 Pro Max
Geekbench AI Score
2775
Single Precision Score
4727
Half Precision Score
3929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (Q)
|
96% |
1451
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2193
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
11147
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9689
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2244
178.6 IPS |
|
|
Object Detection (Q)
|
94% |
1656
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4786
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
2735
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4815
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9005
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6633
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13523
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22801
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19460
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3206
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4258
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4253
73.5 IPS |
