iPhone 15 Pro Max
Geekbench AI Score
4188
Single Precision Score
4796
Half Precision Score
1624
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1869
347.5 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
97% |
1781
332.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3876
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3972
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14907
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15931
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14679
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
3093
245.3 IPS |
|
|
Object Detection (Q)
|
92% |
2407
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
8568
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
6183
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11506
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13132
101.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29268
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34031
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32520
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6177
228.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6636
245.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5303
195.8 IPS |
|
|
Text Classification (SP)
|
100% |
466
622.0 IPS |
|
|
Text Classification (HP)
|
100% |
505
674.2 IPS |
|
|
Text Classification (Q)
|
93% |
308
413.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1557
26.9 IPS |
