iPhone 12 Pro Max
Geekbench AI Score
2722
Single Precision Score
4592
Half Precision Score
3814
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 25 2024 10:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5401
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
10890
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9690
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
97% |
2195
174.8 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2712
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4777
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9538
73.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6648
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13336
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21875
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18868
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2891
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3059
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3610
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3448
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3775
65.2 IPS |
