iPhone 12 Pro Max
Geekbench AI Score
1921
Single Precision Score
2179
Half Precision Score
2060
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:38 PM |
| Views | 2 |
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% |
369
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
96% |
316
59.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6102
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
9344
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
8345
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
92% |
596
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4200
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5593
43.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5228
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12696
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13562
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13155
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1467
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1381
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
2176
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (Q)
|
98% |
493
8.53 IPS |
