iPhone 15 Pro Max
Geekbench AI Score
3972
Single Precision Score
6847
Half Precision Score
5953
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | WJOhnas |
| Upload Date | August 15 2024 07:05 PM |
| Views | 15 |
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% |
1733
322.2 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
99% |
2934
547.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2393
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8229
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
16557
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14280
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3340
265.9 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3820
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7115
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13536
104.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13497
104.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21212
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32460
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32537
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4353
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6165
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5995
103.6 IPS |
