iPhone 12 Pro Max
Geekbench AI Score
2721
Single Precision Score
4807
Half Precision Score
4008
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | slavatsarev |
| Upload Date | November 28 2025 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1229
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2193
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
11177
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9976
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
97% |
2270
180.7 IPS |
|
|
Object Detection (Q)
|
94% |
1677
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
2786
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9418
72.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6763
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13312
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23167
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19917
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4143
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3245
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4242
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4220
72.9 IPS |
