iPhone 12 Pro Max
Geekbench AI Score
2710
Single Precision Score
12632
Half Precision Score
12721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:36 AM |
| Views | 1 |
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% |
4939
918.5 IPS |
|
|
Image Classification (Q)
|
96% |
5226
975.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8189
132.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8147
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5168
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
60575
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60978
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.0 IPS |
|
|
Object Detection (HP)
|
99% |
5560
442.3 IPS |
|
|
Object Detection (Q)
|
91% |
4967
396.9 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11490
136.5 IPS |
|
|
Face Detection (Q)
|
100% |
10402
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4609
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38466
296.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
40373
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13592
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
102000
131.1 IPS |
|
|
Style Transfer (Q)
|
96% |
96875
125.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20254
747.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19750
729.3 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4513
78.0 IPS |
