iPhone 12 Pro Max
Geekbench AI Score
1841
Single Precision Score
10155
Half Precision Score
10547
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 17 2024 05:59 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
4418
821.7 IPS |
|
|
Image Classification (Q)
|
99% |
5229
975.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
56221
65.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
58718
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.8 IPS |
|
|
Object Detection (HP)
|
99% |
5233
416.3 IPS |
|
|
Object Detection (Q)
|
93% |
4831
385.5 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
11290
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
10913
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3358
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33579
258.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
37704
291.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9195
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
92666
119.1 IPS |
|
|
Style Transfer (Q)
|
100% |
96330
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13679
505.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15650
579.8 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2574
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1969
34.0 IPS |
