iPhone 15 Pro Max
Geekbench AI Score
4116
Single Precision Score
4621
Half Precision Score
4246
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | incoherent |
| Upload Date | August 16 2024 03:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
1711
318.1 IPS |
|
|
Image Classification (Q)
|
99% |
2152
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3916
63.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14832
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14539
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (Q)
|
92% |
2205
176.0 IPS |
|
|
Face Detection (SP)
|
100% |
6477
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8659
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
6037
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11345
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13046
100.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13259
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28855
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35593
45.8 IPS |
|
|
Style Transfer (Q)
|
100% |
33420
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6248
230.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5342
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (HP)
|
100% |
527
703.3 IPS |
|
|
Text Classification (Q)
|
93% |
312
418.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1579
27.3 IPS |
