iPhone 15 Pro Max
Geekbench AI Score
3917
Single Precision Score
25301
Half Precision Score
36201
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 09:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
10843
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
15466
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16316
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21582
349.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7964
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
104892
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
206775
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
13756
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18840
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33847
402.2 IPS |
|
|
Face Detection (Q)
|
100% |
53046
630.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6942
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78373
603.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126038
985.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20802
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
207663
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
252746
326.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4735
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33702
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64328
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3514
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6445
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7784
134.5 IPS |
