iPhone 15 Pro Max
Geekbench AI Score
3952
Single Precision Score
24086
Half Precision Score
34268
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pom8646 |
| Upload Date | April 20 2025 03:25 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
10607
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15658
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21552
349.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
108006
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206227
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
13721
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18774
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
34052
404.6 IPS |
|
|
Face Detection (Q)
|
100% |
52294
621.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7007
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78399
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
127832
999.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21636
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204147
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
249014
321.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34245
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60850
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2278
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6455
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7408
128.0 IPS |
