iPhone 15 Pro Max
Geekbench AI Score
4878
Single Precision Score
5864
Half Precision Score
5287
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MrV |
| Upload Date | November 08 2024 07:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
97% |
2108
393.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3734
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13286
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14175
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13290
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
91% |
2342
187.2 IPS |
|
|
Face Detection (SP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
8459
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
6116
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10838
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12036
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10350
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27072
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32594
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30425
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6175
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4874
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1399
24.2 IPS |
