iPhone 15 Pro Max
Geekbench AI Score
3898
Single Precision Score
6964
Half Precision Score
5678
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xgrommx |
| Upload Date | October 16 2025 12:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2976
553.4 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3039
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7926
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16577
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14419
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
3332
265.2 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6841
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12821
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9011
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19859
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33507
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27411
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6950
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6891
119.1 IPS |
