iPhone 15 Pro Max
Geekbench AI Score
3917
Single Precision Score
6804
Half Precision Score
5560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 06 2024 02:44 PM |
| Views | 1 |
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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8028
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16412
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14282
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2349
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3847
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6938
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13379
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9207
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21040
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32192
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27440
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6018
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5994
103.6 IPS |
