iPhone 16 Pro Max
Geekbench AI Score
4435
Single Precision Score
33234
Half Precision Score
46200
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | August 17 2025 03:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
15354
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21319
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18284
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24168
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8571
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
145781
170.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290594
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
16271
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22354
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
40533
481.6 IPS |
|
|
Face Detection (Q)
|
100% |
57468
682.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7872
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95123
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159162
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
17551
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244848
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301988
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50862
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87169
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5071
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4829
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10139
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11386
196.8 IPS |
