iPhone 15 Pro Max
Geekbench AI Score
3951
Single Precision Score
24299
Half Precision Score
34425
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11289
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15099
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15935
258.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20915
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
105233
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203046
238.0 IPS |
|
|
Object Detection (SP)
|
100% |
1811
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
13846
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18960
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34989
415.7 IPS |
|
|
Face Detection (Q)
|
100% |
50055
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7086
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78293
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128866
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21171
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203504
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
245282
316.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35876
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57087
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2766
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6200
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7697
133.0 IPS |
