iPhone 16 Pro Max
Geekbench AI Score
4294
Single Precision Score
32872
Half Precision Score
46326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 11:50 PM |
| Views | 1 |
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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
15273
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20274
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18296
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24097
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
136809
159.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288412
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
16160
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22605
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41158
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
58487
694.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7438
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94554
728.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159297
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17460
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244109
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302339
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50783
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83661
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4831
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10232
176.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11274
194.8 IPS |
