iPhone 15 Pro Max
Geekbench AI Score
3910
Single Precision Score
24227
Half Precision Score
34138
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MattyMultiMedia |
| Upload Date | February 22 2025 10:41 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
11457
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
14847
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15695
254.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20962
339.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7859
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
107583
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
202845
237.7 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
13870
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18958
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33697
400.4 IPS |
|
|
Face Detection (Q)
|
100% |
51217
608.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6899
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78502
604.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128429
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20856
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203067
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
246155
317.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4922
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33573
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59877
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2425
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7641
132.0 IPS |
