iPhone 15 Pro Max
Geekbench AI Score
3732
Single Precision Score
5517
Half Precision Score
4606
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | August 18 2024 05:18 AM |
| Views | 3 |
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% |
1655
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
2237
416.0 IPS |
|
|
Image Classification (Q)
|
99% |
2217
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1377
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7505
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16206
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14061
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
2608
207.6 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
2933
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
4981
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3221
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6412
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9678
74.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
5016
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20508
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30657
39.4 IPS |
|
|
Style Transfer (Q)
|
100% |
30721
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4381
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5165
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4476
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4449
76.9 IPS |
