iPhone 15 Pro Max
Geekbench AI Score
3861
Single Precision Score
6693
Half Precision Score
5480
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | September 21 2024 04:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1696
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
2895
538.3 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7674
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
15735
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13652
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3735
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6870
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13118
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9015
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20457
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31529
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26682
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5959
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6000
103.7 IPS |
