iPhone 15 Pro Max
Geekbench AI Score
4185
Single Precision Score
4707
Half Precision Score
1614
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:41 AM |
| Views | 1 |
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% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
1804
335.5 IPS |
|
|
Image Classification (Q)
|
97% |
1794
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3977
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14939
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15916
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14682
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
2751
218.2 IPS |
|
|
Object Detection (Q)
|
92% |
2248
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8754
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
6109
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11466
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12987
100.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29296
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34578
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32676
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6168
227.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7646
282.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
478
637.7 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
93% |
305
408.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1584
27.4 IPS |
