iPhone 15 Pro Max
Geekbench AI Score
3760
Single Precision Score
6592
Half Precision Score
5748
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | athanikp |
| Upload Date | August 16 2024 02:00 AM |
| Views | 4 |
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% |
1641
305.1 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
99% |
2900
540.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2438
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7363
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
15221
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13238
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2233
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6307
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3599
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12825
99.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
12556
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19733
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31304
40.2 IPS |
|
|
Style Transfer (Q)
|
100% |
31343
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4535
167.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4183
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5380
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5874
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5902
102.0 IPS |
