iPhone 15 Pro Max
Geekbench AI Score
3749
Single Precision Score
6583
Half Precision Score
5368
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
96% |
1997
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2916
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7224
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
14898
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13004
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
3220
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2251
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6306
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3664
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12985
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8755
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19645
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30590
39.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26152
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4544
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4310
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5829
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5857
101.2 IPS |
