iPhone 14 Pro Max
Geekbench AI Score
3448
Single Precision Score
6028
Half Precision Score
4889
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 02:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2658
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15174
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13013
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
97% |
2879
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
2831
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
5782
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6115
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12112
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8184
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28509
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23688
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4202
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3746
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4572
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4473
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5757
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
