iPhone 15 Pro Max
Geekbench AI Score
3687
Single Precision Score
5438
Half Precision Score
4536
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 15 2024 05:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
99% |
2177
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
15968
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13772
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
2545
202.6 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6224
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9590
74.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4899
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20034
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30228
38.9 IPS |
|
|
Style Transfer (Q)
|
100% |
30778
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4316
159.9 IPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4500
77.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4446
76.8 IPS |
