iPhone 15 Pro Max
Geekbench AI Score
5009
Single Precision Score
6114
Half Precision Score
5679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | November 09 2025 12:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1860
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
1986
369.4 IPS |
|
|
Image Classification (Q)
|
96% |
2076
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3727
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13113
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14915
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14635
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (Q)
|
92% |
2488
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
6502
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
9186
109.1 IPS |
|
|
Face Detection (Q)
|
100% |
7405
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11321
87.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12931
99.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11898
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27136
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32650
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31579
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5931
219.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1414
24.4 IPS |
