iPhone 12 Pro Max
Geekbench AI Score
2707
Single Precision Score
4561
Half Precision Score
3787
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2147
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
10767
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9505
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
2201
175.2 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2695
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4816
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9477
73.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6620
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13162
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21571
27.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18640
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2844
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4149
153.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3024
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3673
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3286
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3730
64.5 IPS |
