iPhone 15 Pro Max
Geekbench AI Score
3772
Single Precision Score
6691
Half Precision Score
5440
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 22 2024 11:58 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1607
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.6 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7025
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
14705
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12910
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3342
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6656
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3741
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6618
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12994
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8915
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19955
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30986
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26399
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4236
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5967
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5970
103.2 IPS |
