iPhone 15 Pro Max
Geekbench AI Score
3715
Single Precision Score
22679
Half Precision Score
32209
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:43 PM |
| Views | 4 |
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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
8850
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
11266
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16437
266.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21050
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6993
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
100293
117.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
191743
224.7 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
9678
767.6 IPS |
|
|
Object Detection (Q)
|
91% |
16494
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
36846
437.8 IPS |
|
|
Face Detection (Q)
|
100% |
52055
618.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6552
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
62645
482.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
79314
620.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20291
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
192505
247.5 IPS |
|
|
Style Transfer (Q)
|
96% |
234867
303.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24627
909.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45169
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5602
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6486
112.1 IPS |
