iPhone 16 Pro Max
Geekbench AI Score
4628
Single Precision Score
32909
Half Precision Score
45990
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15211
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20246
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18353
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24107
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9196
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154880
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294343
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22375
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41141
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
58593
696.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8081
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95075
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161222
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24860
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245394
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303692
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50880
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83713
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4802
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9327
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11419
197.3 IPS |
