iPhone 12 Pro Max
Geekbench AI Score
1779
Single Precision Score
2002
Half Precision Score
1846
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
97% |
310
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1570
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6125
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9135
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8093
9.49 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
91% |
586
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
2708
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4510
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5363
41.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4704
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12768
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13708
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12795
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1395
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3404
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
98% |
258
4.46 IPS |
