iPhone 15 Pro Max
Geekbench AI Score
4003
Single Precision Score
6854
Half Precision Score
5624
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 03:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1724
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.5 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
16877
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14616
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
97% |
3370
268.3 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3215
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6795
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3895
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7224
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13567
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9351
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21542
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32777
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27662
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4447
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5990
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6057
104.7 IPS |
