iPhone 15 Pro Max
Geekbench AI Score
3696
Single Precision Score
6678
Half Precision Score
5824
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | karen_he |
| Upload Date | August 15 2024 07:25 PM |
| Views | 2 |
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% |
1604
298.3 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.6 IPS |
|
|
Image Classification (Q)
|
99% |
2977
555.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2481
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7240
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13290
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1638
130.0 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2278
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6422
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3643
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5816
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12682
98.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
12688
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31004
39.9 IPS |
|
|
Style Transfer (Q)
|
100% |
31207
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4647
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4301
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5994
103.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5910
102.1 IPS |
