iPhone 15 Pro Max
Geekbench AI Score
3732
Single Precision Score
5487
Half Precision Score
4578
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macbloke |
| Upload Date | September 02 2024 02:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
99% |
2206
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7859
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
16375
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14095
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
2583
205.7 IPS |
|
|
Object Detection (Q)
|
94% |
1985
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6342
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9656
74.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
5015
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20112
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29797
38.3 IPS |
|
|
Style Transfer (Q)
|
100% |
31135
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4713
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5786
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4328
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4644
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4434
76.6 IPS |
