iPhone 15 Pro Max
Geekbench AI Score
3746
Single Precision Score
6860
Half Precision Score
5628
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 25 2025 04:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1566
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.0 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3017
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7460
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16067
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13768
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
97% |
3265
259.9 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3764
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6675
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12756
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8840
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20470
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32694
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26898
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4525
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5383
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7242
125.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7313
126.4 IPS |
