iPhone 15 Pro Max
Geekbench AI Score
3769
Single Precision Score
22717
Half Precision Score
31849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 03:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1616
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
9021
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
13481
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13627
220.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18554
300.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7723
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
73815
86.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
142816
167.4 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
12077
957.9 IPS |
|
|
Object Detection (Q)
|
91% |
16361
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
27741
329.6 IPS |
|
|
Face Detection (Q)
|
100% |
39601
470.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6696
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
63459
488.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
101104
790.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19850
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
159190
204.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193985
250.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4558
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28601
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49447
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5175
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5136
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8055
138.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9318
161.0 IPS |
