iPhone 15 Pro Max
Geekbench AI Score
3865
Single Precision Score
6902
Half Precision Score
5648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ThisOrThat |
| Upload Date | March 21 2025 06:42 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7628
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16067
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14151
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.5 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6588
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3747
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6798
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12819
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8824
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20715
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33557
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27754
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6899
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6929
119.7 IPS |
