iPhone 15 Pro Max
Geekbench AI Score
3904
Single Precision Score
6781
Half Precision Score
5948
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | danfah |
| Upload Date | August 19 2024 07:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (Q)
|
99% |
2900
540.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8162
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16584
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14427
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3296
262.4 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3799
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13455
104.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
13488
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21261
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32446
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32552
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5892
217.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4344
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5608
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5861
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5913
102.2 IPS |
