iPhone 15 Pro Max
Geekbench AI Score
3838
Single Precision Score
6915
Half Precision Score
5676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 12:12 AM |
| Views | 2 |
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% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.9 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7720
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
16917
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14586
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6730
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3830
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12788
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8996
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20949
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33702
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27931
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5439
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5372
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7381
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7250
125.3 IPS |
