iPhone 12 Pro Max
Geekbench AI Score
1252
Single Precision Score
8378
Half Precision Score
8439
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
574
106.8 IPS |
|
|
Image Classification (HP)
|
100% |
2867
533.2 IPS |
|
|
Image Classification (Q)
|
96% |
3081
575.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4876
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5112
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
31450
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
33880
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
99% |
3549
282.4 IPS |
|
|
Object Detection (Q)
|
91% |
3577
285.8 IPS |
|
|
Face Detection (SP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
7079
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
7798
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25719
198.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22457
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7153
9.19 IPS |
|
|
Style Transfer (HP)
|
100% |
62501
80.3 IPS |
|
|
Style Transfer (Q)
|
96% |
59254
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12321
454.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12530
462.7 IPS |
|
|
Text Classification (SP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1907
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3872
66.9 IPS |
