iPhone 12 Pro Max
Geekbench AI Score
2714
Single Precision Score
4528
Half Precision Score
3797
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:48 AM |
| Views | 1 |
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% |
1254
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2208
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10618
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9367
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2193
174.6 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2711
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4765
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9457
73.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6678
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13098
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21318
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18532
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3071
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3559
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3293
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3777
65.3 IPS |
