iPhone 16 Pro Max
Geekbench AI Score
4559
Single Precision Score
33299
Half Precision Score
46201
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | brianblack1 |
| Upload Date | July 22 2025 04:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
15410
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20616
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18313
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24147
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9037
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151715
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291948
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
16164
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
23154
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
41183
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57536
683.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8093
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95472
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159479
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19747
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245456
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300866
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51159
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84294
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4985
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10308
177.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11353
196.2 IPS |
