iPhone 12 Pro Max
Geekbench AI Score
2735
Single Precision Score
4590
Half Precision Score
3814
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1247
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
96% |
1365
254.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2163
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
10750
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9603
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1582
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
2718
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4876
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9627
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6686
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13554
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22194
28.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19122
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2897
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3072
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3507
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3791
65.5 IPS |
