iPhone 15 Pro Max
Geekbench AI Score
3811
Single Precision Score
5529
Half Precision Score
4615
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | hass |
| Upload Date | September 05 2024 03:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
99% |
2204
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1339
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16942
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14473
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
2615
208.2 IPS |
|
|
Object Detection (Q)
|
94% |
2019
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6567
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9790
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
5055
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21033
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31014
39.9 IPS |
|
|
Style Transfer (Q)
|
100% |
30890
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5802
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4387
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4447
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4438
76.7 IPS |
