iPhone 15 Pro Max
Geekbench AI Score
3971
Single Precision Score
25793
Half Precision Score
36733
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 05:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
11765
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
16402
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16727
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21598
350.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8030
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
105925
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
205306
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
13955
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19520
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
33756
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
52857
628.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6930
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78797
607.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128235
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21037
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207731
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
251671
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33685
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64242
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7034
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7538
130.3 IPS |
