iPhone 15 Pro Max
Geekbench AI Score
3824
Single Precision Score
6786
Half Precision Score
5535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3022
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7585
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15506
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13491
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
3271
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2233
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6604
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12560
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8737
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20093
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32778
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26667
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4374
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5620
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6799
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6865
118.6 IPS |
