iPhone 12 Pro Max
Geekbench AI Score
1898
Single Precision Score
2156
Half Precision Score
2089
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 07:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (Q)
|
96% |
332
62.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1630
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
9135
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
8242
9.66 IPS |
|
|
Object Detection (SP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
651
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
3091
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4153
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5606
43.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5226
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12667
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13470
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
13083
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1482
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3474
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
