iPhone 15 Pro Max
Geekbench AI Score
3974
Single Precision Score
6865
Half Precision Score
5613
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1688
314.0 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.5 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8438
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16926
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14646
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3350
266.7 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3897
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7025
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13492
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9324
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21652
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32724
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27579
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6037
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6019
104.0 IPS |
