iPhone 15 Pro Max
Geekbench AI Score
3688
Single Precision Score
6761
Half Precision Score
5508
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15866
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13734
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3236
257.6 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6582
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3760
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6537
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12504
96.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8821
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20355
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32917
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27210
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4503
166.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4294
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5370
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7054
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
