iPhone 12 Pro Max
Geekbench AI Score
2750
Single Precision Score
4717
Half Precision Score
3931
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1447
270.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5365
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10933
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9754
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2247
178.9 IPS |
|
|
Object Detection (Q)
|
94% |
1659
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
2735
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4775
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9061
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6655
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13277
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22459
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19290
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4167
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3208
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3591
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4269
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4257
73.6 IPS |
