iPhone 16 Pro Max
Geekbench AI Score
4449
Single Precision Score
31805
Half Precision Score
44249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kiruno |
| Upload Date | February 06 2025 04:13 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
15290
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19875
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18273
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24052
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8461
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
150491
175.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292692
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16365
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22565
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
41026
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
57744
686.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7622
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94950
731.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163139
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23136
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245393
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302012
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5574
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48956
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83231
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3425
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9263
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11239
194.2 IPS |
