iPhone 15 Pro Max
Geekbench AI Score
3852
Single Precision Score
6910
Half Precision Score
5604
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 22 2025 02:15 AM |
| 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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
3001
558.1 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7888
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
16222
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14060
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3695
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12695
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8808
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20349
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32833
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26545
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6783
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
