iPhone 15 Pro Max
Geekbench AI Score
3847
Single Precision Score
6834
Half Precision Score
5568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | KickBench |
| Upload Date | May 24 2025 12:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7627
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
15741
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13688
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1741
138.1 IPS |
|
|
Object Detection (HP)
|
97% |
3306
263.2 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6631
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6629
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12665
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8797
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20443
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32780
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26975
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5729
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6808
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6784
117.2 IPS |
