iPhone 12 Pro Max
Geekbench AI Score
2789
Single Precision Score
13238
Half Precision Score
13043
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
4590
853.5 IPS |
|
|
Image Classification (Q)
|
96% |
4609
860.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8514
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8731
141.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
62676
73.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
61541
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
6276
499.3 IPS |
|
|
Object Detection (Q)
|
91% |
5893
470.9 IPS |
|
|
Face Detection (SP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
15387
182.8 IPS |
|
|
Face Detection (Q)
|
100% |
12220
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5020
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40803
314.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39490
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14508
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
101848
130.9 IPS |
|
|
Style Transfer (Q)
|
96% |
97236
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3170
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19720
728.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21799
804.9 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4451
76.9 IPS |
