iPhone 15 Pro Max
Geekbench AI Score
3780
Single Precision Score
26973
Half Precision Score
37283
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 05:04 AM |
| Views | 2 |
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% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
10758
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15670
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16618
269.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21238
344.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7374
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
103186
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203758
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
13224
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
17153
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34259
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
50555
600.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6580
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77890
600.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126141
986.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20071
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206022
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
245382
316.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4510
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34335
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57586
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5285
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8193
141.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
