iPhone 15 Pro Max
Geekbench AI Score
4111
Single Precision Score
4805
Half Precision Score
4257
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 06:42 PM |
| 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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
99% |
2066
385.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14875
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15939
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14587
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
92% |
2236
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
6534
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
8754
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
6161
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11514
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13036
100.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13368
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29257
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34289
44.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34120
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5328
197.4 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.2 IPS |
|
|
Text Classification (HP)
|
100% |
515
687.3 IPS |
|
|
Text Classification (Q)
|
93% |
311
416.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1606
27.8 IPS |
