iPhone 15 Pro Max
Geekbench AI Score
3829
Single Precision Score
24716
Half Precision Score
33651
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
9753
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11708
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16355
265.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21496
348.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7668
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
103819
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
199953
234.4 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
11158
885.0 IPS |
|
|
Object Detection (Q)
|
91% |
17098
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
35691
424.1 IPS |
|
|
Face Detection (Q)
|
100% |
51495
611.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
70015
539.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
102665
802.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21512
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204729
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
234528
302.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28138
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49096
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6583
113.8 IPS |
