iPhone 15 Pro Max
Geekbench AI Score
3960
Single Precision Score
6894
Half Precision Score
5617
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 09:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.4 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8036
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16535
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14544
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
3354
267.0 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6785
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3899
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7057
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13533
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9365
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21520
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32899
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26166
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5716
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5711
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6104
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6034
104.3 IPS |
