iPhone 12 Pro Max
Geekbench AI Score
2524
Single Precision Score
4336
Half Precision Score
3623
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 09:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1197
222.5 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (Q)
|
96% |
1341
250.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2025
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4710
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9548
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8584
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
97% |
2013
160.3 IPS |
|
|
Object Detection (Q)
|
94% |
1484
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2442
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4311
33.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8014
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5906
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11937
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20516
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17674
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2649
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3024
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3723
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4074
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3928
67.9 IPS |
