iPhone 12 Pro Max
Geekbench AI Score
2718
Single Precision Score
4647
Half Precision Score
3853
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 15 2025 05:54 PM |
| Views | 1 |
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% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (Q)
|
96% |
1381
257.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5376
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
11100
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9760
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1592
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2725
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4788
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9070
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6433
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13287
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22335
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19177
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4166
153.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3158
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3608
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4053
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4075
70.4 IPS |
