iPhone 15 Pro Max
Geekbench AI Score
5033
Single Precision Score
5871
Half Precision Score
5400
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 03:39 PM |
| Views | 2 |
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% |
1799
334.5 IPS |
|
|
Image Classification (HP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3772
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4029
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13313
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14425
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14285
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (Q)
|
92% |
2301
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
6460
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
9096
108.1 IPS |
|
|
Face Detection (Q)
|
100% |
7051
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11423
88.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12704
97.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11382
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30436
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31728
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5682
209.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5243
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1423
24.6 IPS |
