iPhone 15 Pro Max
Geekbench AI Score
3643
Single Precision Score
6492
Half Precision Score
5656
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anh |
| Upload Date | August 16 2024 03:00 PM |
| Views | 19 |
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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (Q)
|
99% |
2838
529.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2272
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6935
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14258
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12675
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
3212
255.7 IPS |
|
|
Object Detection (Q)
|
94% |
2221
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6358
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3638
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12940
100.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
12884
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19294
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31085
40.0 IPS |
|
|
Style Transfer (Q)
|
100% |
30616
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4423
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4185
155.1 IPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3045
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5820
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5899
101.9 IPS |
