iPhone 15 Pro Max
Geekbench AI Score
4052
Single Precision Score
7048
Half Precision Score
5753
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | ProGoDawg |
| Upload Date | July 21 2025 08:01 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8816
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17748
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15114
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
3349
266.6 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6842
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12946
100.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9099
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22437
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34968
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28785
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4462
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5824
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6854
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
