iPhone 15 Pro Max
Geekbench AI Score
5067
Single Precision Score
5890
Half Precision Score
5412
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:26 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4157
67.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4044
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13224
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14056
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13616
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2421
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
6253
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
8512
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
6901
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11065
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12119
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10988
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27876
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31841
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31082
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5978
220.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5431
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5630
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1372
23.7 IPS |
