iPhone 15 Pro Max
Geekbench AI Score
3622
Single Precision Score
5413
Half Precision Score
4484
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | franky2000 |
| Upload Date | August 15 2024 09:54 PM |
| Views | 8 |
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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1340
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7403
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
15791
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13527
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
97% |
2540
202.2 IPS |
|
|
Object Detection (Q)
|
94% |
1952
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9357
72.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4810
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19538
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29853
38.4 IPS |
|
|
Style Transfer (Q)
|
100% |
29796
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4240
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5266
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4442
76.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4417
76.3 IPS |
