iPhone 15 Pro Max
Geekbench AI Score
3927
Single Precision Score
6827
Half Precision Score
5601
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | November 06 2024 02:47 PM |
| Views | 3 |
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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2049
382.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7745
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14916
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13881
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
97% |
3345
266.3 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7019
54.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13474
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9331
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21157
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32365
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27549
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4994
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5687
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6041
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6024
104.1 IPS |
