iPhone 16 Pro Max
Geekbench AI Score
4625
Single Precision Score
32638
Half Precision Score
45091
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 03:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2005
372.9 IPS |
|
|
Image Classification (HP)
|
100% |
15055
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19047
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18211
295.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24022
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9274
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154475
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294390
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
16095
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22163
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41241
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
58796
698.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95274
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159929
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25041
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246045
316.3 IPS |
|
|
Style Transfer (Q)
|
96% |
306385
395.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51383
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83886
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4317
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4242
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9386
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11354
196.2 IPS |
