iPhone 12 Pro Max
Geekbench AI Score
2320
Single Precision Score
3624
Half Precision Score
3015
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:37 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1084
201.5 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.1 IPS |
|
|
Image Classification (Q)
|
99% |
1453
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
997
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4907
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
10336
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8993
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.8 IPS |
|
|
Object Detection (HP)
|
97% |
1693
134.8 IPS |
|
|
Object Detection (Q)
|
94% |
1323
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (Q)
|
100% |
2234
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4309
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6934
53.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
3484
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12138
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20324
26.1 IPS |
|
|
Style Transfer (Q)
|
100% |
20197
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2531
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4028
148.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2997
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2933
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2613
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2614
45.2 IPS |
