iPhone 15 Pro Max
Geekbench AI Score
3885
Single Precision Score
25286
Half Precision Score
35360
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 10:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
10982
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
16042
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16740
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21365
346.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7850
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
106076
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206327
241.8 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
13972
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19160
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
35846
425.9 IPS |
|
|
Face Detection (Q)
|
100% |
52818
627.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6779
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78958
608.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
125590
981.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20559
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203622
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249242
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34034
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55359
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3271
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6995
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7535
130.2 IPS |
