iPhone 12 Pro Max
Geekbench AI Score
2726
Single Precision Score
4542
Half Precision Score
3816
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mtipp |
| Upload Date | November 09 2024 11:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
1907
354.6 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5361
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10714
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9573
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2207
175.7 IPS |
|
|
Object Detection (Q)
|
94% |
1601
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
2776
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9452
73.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6582
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13173
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21651
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18749
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4018
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3064
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3614
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3285
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3775
65.2 IPS |
