iPhone 12 Pro Max
Geekbench AI Score
2580
Single Precision Score
4630
Half Precision Score
3816
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 08:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1207
224.4 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
96% |
1449
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2146
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
10250
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8498
9.96 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
97% |
2203
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2452
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2606
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4491
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9033
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6496
50.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12492
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21250
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18517
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2658
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4205
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
