iPhone 15 Pro Max
Geekbench AI Score
3594
Single Precision Score
5364
Half Precision Score
4463
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | August 15 2024 07:21 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1681
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (Q)
|
99% |
2212
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1315
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6962
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14976
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12583
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
97% |
2566
204.3 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2865
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
3075
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9209
71.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4815
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19177
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (Q)
|
100% |
29719
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4334
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5206
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4376
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4408
76.2 IPS |
