iPhone 12 Pro Max
Geekbench AI Score
1995
Single Precision Score
2248
Half Precision Score
2063
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 08:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1593
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8190
9.60 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
92% |
567
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
3153
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4162
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5699
43.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5176
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12707
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13646
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13216
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1330
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.81 IPS |
