iPhone 15 Pro Max
Geekbench AI Score
3972
Single Precision Score
24278
Half Precision Score
32812
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | March 23 2025 09:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
11626
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
15251
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15865
257.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20888
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8096
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
105881
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203454
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
100% |
13851
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18503
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33710
400.5 IPS |
|
|
Face Detection (Q)
|
100% |
51054
606.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7022
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77947
600.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126234
987.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21389
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204036
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
245128
316.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33697
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61808
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1691
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6789
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
