iPhone 12 Pro Max
Geekbench AI Score
1937
Single Precision Score
2201
Half Precision Score
2095
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
320
59.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1798
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1766
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9345
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
8478
9.94 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (Q)
|
92% |
643
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
3067
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4146
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5633
43.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5227
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12645
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13584
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13233
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1393
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3641
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
98% |
493
8.52 IPS |
