iPhone 15 Pro Max
Geekbench AI Score
3774
Single Precision Score
6784
Half Precision Score
5525
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 07 2025 10:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1653
307.3 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.1 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7232
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
15286
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13466
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.8 IPS |
|
|
Object Detection (Q)
|
94% |
2318
184.8 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6518
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3575
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6563
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12551
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8657
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19726
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32463
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26353
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4355
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3289
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5774
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6730
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6760
116.8 IPS |
