iPhone 15 Pro Max
Geekbench AI Score
2707
Single Precision Score
13868
Half Precision Score
17821
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1447
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
6208
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5217
84.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9952
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7370
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
87084
101.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
152419
178.6 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
8162
647.4 IPS |
|
|
Object Detection (Q)
|
93% |
9937
792.9 IPS |
|
|
Face Detection (SP)
|
100% |
2225
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
11196
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
13232
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4662
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42688
328.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
61919
484.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12103
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
127935
164.5 IPS |
|
|
Style Transfer (Q)
|
96% |
138057
178.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18357
677.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26304
971.3 IPS |
|
|
Text Classification (SP)
|
100% |
1787
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
3967
5.70 KIPS |
|
|
Text Classification (Q)
|
69% |
3858
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1911
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2490
43.0 IPS |
