iPhone 15 Pro Max
Geekbench AI Score
3853
Single Precision Score
6801
Half Precision Score
5505
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gethen |
| Upload Date | December 15 2024 01:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1688
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7878
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
15842
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13828
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3316
264.0 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6665
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3773
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6716
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12819
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8980
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20216
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31324
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26695
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5865
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4322
159.6 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5593
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6006
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5969
103.1 IPS |
