iPhone 15 Pro Max
Geekbench AI Score
3746
Single Precision Score
26643
Half Precision Score
36240
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Caliqo |
| Upload Date | October 08 2025 10:15 AM |
| Views | 7 |
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
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
11084
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15291
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16696
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20874
338.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7288
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
104960
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205459
240.8 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
13663
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17529
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
33916
403.0 IPS |
|
|
Face Detection (Q)
|
100% |
50356
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6704
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78304
603.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124817
975.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20174
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
208884
268.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249504
322.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4495
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34033
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57077
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6405
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6895
119.1 IPS |
