iPhone 15 Pro Max
Geekbench AI Score
3867
Single Precision Score
6712
Half Precision Score
5517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | September 26 2024 06:08 AM |
| Views | 7 |
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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3017
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7538
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15378
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13463
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3312
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3768
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13084
101.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8986
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19958
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31106
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26183
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5503
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6271
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6274
108.4 IPS |
