iPhone 12 Pro Max
Geekbench AI Score
2770
Single Precision Score
4746
Half Precision Score
3949
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:45 PM |
| Views | 2 |
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% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
96% |
1437
268.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
11195
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9918
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2261
180.0 IPS |
|
|
Object Detection (Q)
|
94% |
1666
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4774
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2737
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9229
71.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6723
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13555
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23090
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19804
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4134
152.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3190
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3591
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4229
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.1 IPS |
