iPhone 15 Pro Max
Geekbench AI Score
3766
Single Precision Score
5519
Half Precision Score
4605
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 18 2024 03:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.7 IPS |
|
|
Image Classification (Q)
|
99% |
2210
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1341
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8110
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16650
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14326
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
2613
208.0 IPS |
|
|
Object Detection (Q)
|
94% |
2012
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5039
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6300
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9794
75.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
5044
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20672
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30749
39.5 IPS |
|
|
Style Transfer (Q)
|
100% |
30712
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4393
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5185
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4460
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4432
76.6 IPS |
