iPhone 15 Pro Max
Geekbench AI Score
5021
Single Precision Score
5889
Half Precision Score
5439
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3726
60.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4071
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13347
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14473
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14337
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (Q)
|
92% |
2388
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9166
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
7294
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11424
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12651
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11227
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26970
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31833
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31375
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5276
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5636
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1415
24.5 IPS |
