iPhone 12 Pro Max
Geekbench AI Score
2811
Single Precision Score
12257
Half Precision Score
12102
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | August 17 2025 07:09 AM |
| Views | 9 |
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% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
4646
864.0 IPS |
|
|
Image Classification (Q)
|
96% |
4240
791.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8148
132.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8708
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5270
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
60507
70.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60048
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
5339
424.7 IPS |
|
|
Object Detection (Q)
|
91% |
4795
383.1 IPS |
|
|
Face Detection (SP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
12080
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
10192
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4951
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37018
285.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
37723
294.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13954
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94027
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
92377
119.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2993
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16895
623.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17609
650.2 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2446
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4145
71.6 IPS |
