iPhone 12 Pro Max
Geekbench AI Score
2738
Single Precision Score
14090
Half Precision Score
14141
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | akmacks |
| Upload Date | May 30 2025 10:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
4658
866.2 IPS |
|
|
Image Classification (Q)
|
96% |
4833
902.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8701
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9234
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5486
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
64637
75.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64773
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
99% |
6202
493.4 IPS |
|
|
Object Detection (Q)
|
91% |
5352
427.6 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
14840
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
12190
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4845
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39397
303.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
43691
341.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13788
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
110215
141.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110790
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20896
771.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22054
814.4 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2943
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5398
93.3 IPS |
