iPhone 15 Pro Max
Geekbench AI Score
3908
Single Precision Score
24801
Half Precision Score
35300
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
10864
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15521
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16511
267.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21185
343.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7671
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104943
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205359
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13675
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18406
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33643
399.7 IPS |
|
|
Face Detection (Q)
|
100% |
52772
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6913
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78045
601.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126784
991.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20863
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207021
266.1 IPS |
|
|
Style Transfer (Q)
|
96% |
254055
327.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33411
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59198
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3202
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6228
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7503
129.7 IPS |
