iPhone 15 Pro Max
Geekbench AI Score
3926
Single Precision Score
7049
Half Precision Score
5693
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 01:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8056
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16489
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14172
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3329
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6858
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12971
100.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8963
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20935
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33942
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27524
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6179
228.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4510
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6891
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6914
119.5 IPS |
