iPhone 12 Pro Max
Geekbench AI Score
2752
Single Precision Score
4619
Half Precision Score
3820
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 16 2024 02:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1249
232.3 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.7 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2185
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
11032
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9867
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2199
175.1 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.7 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2727
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9566
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6641
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13511
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22502
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19198
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3058
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3648
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3342
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3655
63.2 IPS |
