iPhone 15 Pro Max
Geekbench AI Score
3412
Single Precision Score
5130
Half Precision Score
4526
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | September 16 2024 06:49 AM |
| Views | 5 |
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% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.4 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1983
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7290
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
14933
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13417
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2251
179.2 IPS |
|
|
Object Detection (Q)
|
94% |
1834
146.2 IPS |
|
|
Face Detection (SP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4573
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2719
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
8398
64.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6853
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16482
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25380
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24297
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4443
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
