iPhone 15 Pro Max
Geekbench AI Score
3755
Single Precision Score
5528
Half Precision Score
4587
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | August 16 2024 06:30 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
99% |
2200
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1338
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8067
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16637
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14296
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
2625
209.0 IPS |
|
|
Object Detection (Q)
|
94% |
1998
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4959
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6352
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9596
74.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
5006
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20484
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30601
39.3 IPS |
|
|
Style Transfer (Q)
|
100% |
30754
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4398
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5168
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4497
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
