iPhone 15 Pro Max
Geekbench AI Score
3780
Single Precision Score
6858
Half Precision Score
5576
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:16 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2988
48.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7548
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15594
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13632
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3741
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6638
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12627
97.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8691
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19787
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33095
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27162
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4382
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6012
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5792
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6763
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6744
116.5 IPS |
