iPhone 12 Pro Max
Geekbench AI Score
2692
Single Precision Score
13063
Half Precision Score
12919
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | laidbackdev |
| Upload Date | February 28 2025 03:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
4477
832.5 IPS |
|
|
Image Classification (Q)
|
96% |
4726
882.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8837
143.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8504
137.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5042
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
60753
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59804
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
99% |
5529
439.8 IPS |
|
|
Object Detection (Q)
|
91% |
4969
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14313
170.1 IPS |
|
|
Face Detection (Q)
|
100% |
12093
143.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4786
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39523
304.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37401
292.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12942
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
99062
127.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98518
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18909
698.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19501
720.1 IPS |
|
|
Text Classification (SP)
|
100% |
2107
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5556
96.0 IPS |
