iPhone 15 Pro Max
Geekbench AI Score
3758
Single Precision Score
6779
Half Precision Score
5516
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 06:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2988
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15308
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13004
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.5 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6528
77.6 IPS |
|
|
Face Detection (Q)
|
100% |
3649
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6566
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12698
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8684
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19796
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32592
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26310
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4520
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5800
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6717
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6803
117.6 IPS |
