iPhone 15 Pro Max
Geekbench AI Score
3754
Single Precision Score
5521
Half Precision Score
4765
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1686
313.6 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1649
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2059
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
16851
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14532
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
2572
204.8 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4991
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
3183
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6475
49.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9710
75.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7410
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20762
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31063
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26102
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5253
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4319
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4305
74.4 IPS |
