iPhone 15 Pro Max
Geekbench AI Score
3637
Single Precision Score
6777
Half Precision Score
5525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:25 PM |
| Views | 1 |
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% |
1483
275.7 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2035
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3001
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15462
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13444
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2295
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
6591
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3678
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6368
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12582
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8667
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19469
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31905
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25854
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4260
157.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7088
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
