iPhone 15 Pro Max
Geekbench AI Score
2898
Single Precision Score
13828
Half Precision Score
9303
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1450
269.6 IPS |
|
|
Image Classification (HP)
|
100% |
6013
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
6892
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5256
85.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9801
158.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
88918
103.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
139636
163.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
8017
635.9 IPS |
|
|
Object Detection (Q)
|
93% |
9421
751.7 IPS |
|
|
Face Detection (SP)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
753
8.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
5060
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42678
328.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
56715
443.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13422
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
127049
163.3 IPS |
|
|
Style Transfer (Q)
|
25% |
5874
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18093
668.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21282
785.8 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
3985
5.73 KIPS |
|
|
Text Classification (Q)
|
69% |
3895
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2628
45.4 IPS |
