iPhone 15 Pro Max
Geekbench AI Score
3734
Single Precision Score
25355
Half Precision Score
35714
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 07:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
11222
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15335
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16428
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21248
344.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
102780
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204584
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
13821
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18437
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
33779
401.4 IPS |
|
|
Face Detection (Q)
|
100% |
53096
630.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6392
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78456
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
127703
998.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19785
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206062
264.9 IPS |
|
|
Style Transfer (Q)
|
96% |
253673
327.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33869
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58810
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3459
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6648
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7852
135.7 IPS |
