iPhone 12 Pro Max
Geekbench AI Score
2663
Single Precision Score
12009
Half Precision Score
12214
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
4725
878.7 IPS |
|
|
Image Classification (Q)
|
96% |
4854
906.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7647
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8275
134.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
61253
71.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59558
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
99% |
5499
437.4 IPS |
|
|
Object Detection (Q)
|
91% |
5199
415.5 IPS |
|
|
Face Detection (SP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
11741
139.5 IPS |
|
|
Face Detection (Q)
|
100% |
9989
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4784
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36335
279.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34014
265.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13382
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96440
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
95285
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19316
713.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19156
707.4 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2352
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4074
70.4 IPS |
