iPhone 15 Pro Max
Geekbench AI Score
3695
Single Precision Score
5453
Half Precision Score
4535
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 23 2024 02:24 AM |
| Views | 1 |
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% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
99% |
2194
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
16068
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13716
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (HP)
|
97% |
2595
206.6 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3120
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6153
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9603
74.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
4911
38.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19969
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30340
39.0 IPS |
|
|
Style Transfer (Q)
|
100% |
30246
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4320
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5182
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4457
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4483
77.5 IPS |
