iPhone 15 Pro Max
Geekbench AI Score
3888
Single Precision Score
27029
Half Precision Score
37301
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 11:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
10552
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15708
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16391
265.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21141
342.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7948
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
106095
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206002
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
13924
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18775
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
36230
430.5 IPS |
|
|
Face Detection (Q)
|
100% |
51170
608.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6868
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78368
603.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121068
946.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21113
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201533
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
249923
322.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4831
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34279
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55525
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8089
139.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9233
159.6 IPS |
