iPhone 12 Pro Max
Geekbench AI Score
2402
Single Precision Score
3669
Half Precision Score
3220
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.9 IPS |
|
|
Image Classification (HP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (Q)
|
96% |
1185
221.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1506
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5093
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
10748
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9502
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
97% |
1732
137.9 IPS |
|
|
Object Detection (Q)
|
94% |
1351
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
2271
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4447
34.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7042
54.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5407
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12657
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21034
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18000
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3922
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3037
112.1 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2887
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2710
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2707
46.8 IPS |
