iPhone 16 Pro Max
Geekbench AI Score
4644
Single Precision Score
33836
Half Precision Score
45342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 07:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
14648
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
17583
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18141
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23888
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9572
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152333
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289090
338.8 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
15738
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21361
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
39573
470.2 IPS |
|
|
Face Detection (Q)
|
100% |
53133
631.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8363
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94105
725.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
152727
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
23119
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244316
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296115
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51014
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80527
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5810
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10945
188.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12596
217.7 IPS |
