iPhone 12 Pro Max
Geekbench AI Score
1728
Single Precision Score
10472
Half Precision Score
10572
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:48 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
917
170.5 IPS |
|
|
Image Classification (HP)
|
100% |
4622
859.5 IPS |
|
|
Image Classification (Q)
|
99% |
5428
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3652
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
59139
69.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
53292
62.5 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
99% |
5891
468.6 IPS |
|
|
Object Detection (Q)
|
93% |
5494
438.4 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
11382
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
10608
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36495
281.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
41724
322.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7929
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
104614
134.5 IPS |
|
|
Style Transfer (Q)
|
100% |
102317
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14921
551.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17129
634.6 IPS |
|
|
Text Classification (SP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2441
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1588
27.4 IPS |
