iPhone 15 Pro Max
Geekbench AI Score
4036
Single Precision Score
21405
Half Precision Score
27314
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asto18089 |
| Upload Date | August 16 2024 03:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
11204
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
12545
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10802
175.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
10917
177.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8424
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
104225
121.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
197665
231.8 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
13026
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18593
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
21687
257.7 IPS |
|
|
Face Detection (Q)
|
100% |
34508
410.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7245
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
63878
492.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
73918
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21627
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
137297
176.5 IPS |
|
|
Style Transfer (Q)
|
100% |
137909
177.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34096
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
57027
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3125
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6203
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7325
126.6 IPS |
