iPhone 15 Pro Max
Geekbench AI Score
4013
Single Precision Score
6868
Half Precision Score
5622
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 12:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8494
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16889
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14696
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3362
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6789
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3898
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7128
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9362
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21617
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32743
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27629
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5074
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5827
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4425
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6053
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6029
104.2 IPS |
