iPhone 12 Pro Max
Geekbench AI Score
2689
Single Precision Score
4615
Half Precision Score
3809
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10506
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9463
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
2196
174.8 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
2659
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4670
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8962
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6353
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12965
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21973
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18595
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3122
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3580
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4126
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4127
71.3 IPS |
