iPhone 15 Pro Max
Geekbench AI Score
3936
Single Precision Score
23666
Half Precision Score
32743
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:02 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
10765
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14743
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15811
256.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20772
336.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7994
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105252
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
202261
237.1 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
13571
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18640
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3152
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34933
415.1 IPS |
|
|
Face Detection (Q)
|
100% |
50987
605.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7063
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78366
603.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126153
986.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21456
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203800
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
250518
323.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34730
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58905
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1804
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6161
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7166
123.8 IPS |
