iPhone 16 Pro Max
Geekbench AI Score
4549
Single Precision Score
33082
Half Precision Score
46275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gtimchenko |
| Upload Date | December 15 2024 04:31 PM |
| Views | 12 |
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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
15216
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20819
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18317
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24047
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8861
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153701
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293364
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
100% |
16321
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22477
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41188
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58072
690.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95219
733.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161608
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24081
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245258
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304317
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5681
209.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51165
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87540
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4829
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9343
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11298
195.2 IPS |
