iPhone 15 Pro Max
Geekbench AI Score
3854
Single Precision Score
23770
Half Precision Score
32637
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | February 13 2025 03:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
11634
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
15211
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15586
252.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20668
335.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7570
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
103475
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
202672
237.5 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
13888
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18825
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
35075
416.8 IPS |
|
|
Face Detection (Q)
|
100% |
49987
594.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6802
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78533
605.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
125135
978.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20344
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201907
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
245971
317.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33895
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60967
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
1624
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7506
129.7 IPS |
