iPhone 15 Pro Max
Geekbench AI Score
3922
Single Precision Score
27028
Half Precision Score
37275
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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
10747
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15513
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16673
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21117
342.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8327
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
107902
125.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
206999
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
13861
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17498
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33768
401.2 IPS |
|
|
Face Detection (Q)
|
100% |
50650
601.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78155
602.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127260
995.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21787
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
208041
267.4 IPS |
|
|
Style Transfer (Q)
|
96% |
246157
317.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4942
182.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34402
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58428
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5068
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8092
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9289
160.5 IPS |
