iPhone 15 Pro Max
Geekbench AI Score
3984
Single Precision Score
7291
Half Precision Score
5942
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 09:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
2950
548.7 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7505
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16657
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14348
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6780
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12621
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8961
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20400
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34438
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28703
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5840
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4379
161.7 IPS |
|
|
Text Classification (SP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (HP)
|
99% |
9815
13.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9506
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6528
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6469
111.8 IPS |
