iPhone 14 Pro Max
Geekbench AI Score
3494
Single Precision Score
6040
Half Precision Score
4918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 07:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14993
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13115
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3491
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6075
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12320
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8182
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18636
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28033
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23593
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4569
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5872
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5895
101.9 IPS |
