iPhone 12 Pro Max
Geekbench AI Score
2650
Single Precision Score
4440
Half Precision Score
3714
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2167
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5064
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
10188
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9217
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
97% |
2172
172.9 IPS |
|
|
Object Detection (Q)
|
94% |
1569
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2516
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4657
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9216
71.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6439
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12675
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20948
26.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18031
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3008
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3586
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3277
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3708
64.1 IPS |
