iPhone 15 Pro Max
Geekbench AI Score
3720
Single Precision Score
6812
Half Precision Score
5605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.3 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3014
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7066
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13765
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
97% |
3237
257.7 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6573
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3757
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12569
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8886
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20350
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32660
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26948
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4453
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7183
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7188
124.2 IPS |
