iPhone 15 Pro Max
Geekbench AI Score
3809
Single Precision Score
25007
Half Precision Score
35845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 09:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
11185
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15992
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15595
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21498
348.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7479
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
103620
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
202389
237.2 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
13876
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18664
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
33737
400.9 IPS |
|
|
Face Detection (Q)
|
100% |
50770
603.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6714
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78666
606.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
130035
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20316
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202080
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
245587
316.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33977
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61569
2.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3366
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6733
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8027
138.7 IPS |
