iPhone 12 Pro Max
Geekbench AI Score
1764
Single Precision Score
2002
Half Precision Score
1836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | December 12 2024 11:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
97% |
325
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1535
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8685
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7640
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.4 IPS |
|
|
Object Detection (Q)
|
91% |
555
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3472
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5307
40.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4608
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12480
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13452
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12756
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1439
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3563
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
98% |
261
4.52 IPS |
