iPhone 12 Pro Max
Geekbench AI Score
2800
Single Precision Score
4651
Half Precision Score
3860
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 06:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1246
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.7 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2206
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5676
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
11544
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10126
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
97% |
2196
174.8 IPS |
|
|
Object Detection (Q)
|
94% |
1596
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2763
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4980
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9761
75.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6691
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14269
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23317
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19770
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3062
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4146
153.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3053
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3372
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3803
65.7 IPS |
