iPhone 12 Pro Max
Geekbench AI Score
1765
Single Precision Score
2019
Half Precision Score
1867
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
356
66.3 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
97% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1683
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6137
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8862
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7706
9.03 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (Q)
|
91% |
571
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
2585
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3764
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5287
40.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4687
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12966
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13435
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12701
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1438
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3578
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
98% |
301
5.20 IPS |
