iPhone 15 Pro Max
Geekbench AI Score
4206
Single Precision Score
4585
Half Precision Score
1487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (Q)
|
99% |
1609
300.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3693
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14898
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15880
18.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
14342
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
91% |
2036
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
6564
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
8235
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
5271
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11415
87.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12807
99.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29708
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35003
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33406
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6620
244.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5096
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.0 IPS |
|
|
Text Classification (HP)
|
100% |
460
614.0 IPS |
|
|
Text Classification (Q)
|
93% |
275
368.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1237
21.4 IPS |
