iPhone 12 Pro Max
Geekbench AI Score
1824
Single Precision Score
2049
Half Precision Score
1959
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
97% |
310
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1525
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9530
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8532
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
91% |
650
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4270
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5440
41.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4520
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12855
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13564
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12707
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1447
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3602
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.90 IPS |
