iPhone 12 Pro Max
Geekbench AI Score
2828
Single Precision Score
12645
Half Precision Score
12890
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 17 2025 07:08 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
4653
865.3 IPS |
|
|
Image Classification (Q)
|
96% |
4828
901.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8158
132.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8482
137.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5472
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
59194
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59009
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
5424
431.4 IPS |
|
|
Object Detection (Q)
|
91% |
5152
411.6 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
12193
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
10455
124.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4960
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37717
290.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35848
280.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14101
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
100092
128.7 IPS |
|
|
Style Transfer (Q)
|
96% |
105152
135.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2980
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18827
695.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21727
802.3 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2524
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4708
81.4 IPS |
