iPhone 15 Pro Max
Geekbench AI Score
3677
Single Precision Score
5450
Half Precision Score
4719
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:38 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2074
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7712
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
16150
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13991
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.1 IPS |
|
|
Object Detection (HP)
|
97% |
2572
204.7 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6104
47.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9636
74.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
7230
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19929
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30250
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25522
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4490
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4431
76.6 IPS |
