iPhone 15 Pro Max
Geekbench AI Score
3817
Single Precision Score
6830
Half Precision Score
5586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 03:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
2979
554.0 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3017
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7680
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15562
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13624
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3286
261.6 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3682
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6684
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12671
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8801
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20129
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32900
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26957
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5780
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6714
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6837
118.2 IPS |
