iPhone 12 Pro Max
Geekbench AI Score
2504
Single Precision Score
3784
Half Precision Score
3160
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 17 2024 05:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.8 IPS |
|
|
Image Classification (HP)
|
100% |
1477
274.7 IPS |
|
|
Image Classification (Q)
|
99% |
1470
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
11329
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10044
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
97% |
1745
138.9 IPS |
|
|
Object Detection (Q)
|
94% |
1360
108.4 IPS |
|
|
Face Detection (SP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
2327
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4543
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7181
55.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3665
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13660
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (Q)
|
100% |
22104
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2775
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4259
157.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3056
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2984
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2825
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2832
48.9 IPS |
