iPhone 16 Pro Max
Geekbench AI Score
4510
Single Precision Score
33099
Half Precision Score
45291
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
15308
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20946
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18412
298.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23764
385.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8962
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151483
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
290037
339.9 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
16840
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
22098
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
40307
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
55590
660.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94642
729.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
158530
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
19786
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244484
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301887
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49963
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84179
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4622
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4160
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9850
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10999
190.1 IPS |
