iPhone 15 Pro Max
Geekbench AI Score
3743
Single Precision Score
6589
Half Precision Score
5440
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jessy |
| Upload Date | September 09 2024 01:22 PM |
| Views | 22 |
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% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3006
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15829
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13893
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2304
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6208
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3686
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12487
96.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8756
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31351
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26701
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4362
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5706
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
