iPhone 15 Pro Max
Geekbench AI Score
3636
Single Precision Score
5398
Half Precision Score
4507
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 02 2024 06:34 PM |
| Views | 2 |
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% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
99% |
2196
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1345
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7267
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15263
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13257
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
97% |
2537
202.0 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6051
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9349
72.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4853
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19583
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30392
39.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30135
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4340
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4521
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4459
77.1 IPS |
