iPhone 12 Pro Max
Geekbench AI Score
2715
Single Precision Score
12355
Half Precision Score
12341
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | September 28 2025 12:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
4797
892.0 IPS |
|
|
Image Classification (Q)
|
96% |
4780
892.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8026
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8720
141.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5151
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
59158
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59477
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
99% |
5360
426.3 IPS |
|
|
Object Detection (Q)
|
91% |
4795
383.2 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
12074
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
10597
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4802
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38253
294.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35555
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13566
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95708
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
93531
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18966
700.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18242
673.6 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4283
74.0 IPS |
