iPhone 15 Pro Max
Geekbench AI Score
3988
Single Precision Score
6868
Half Precision Score
5995
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | SilentGSG9 |
| Upload Date | August 21 2024 07:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2937
546.2 IPS |
|
|
Image Classification (Q)
|
99% |
2915
543.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2401
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8426
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
16953
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14483
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6679
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7176
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13516
104.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13590
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21519
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32759
42.1 IPS |
|
|
Style Transfer (Q)
|
100% |
33172
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4341
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5552
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6031
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6033
104.3 IPS |
