iPhone 16 Pro Max
Geekbench AI Score
4382
Single Precision Score
32768
Half Precision Score
46056
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
15357
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20621
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18286
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24040
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8259
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
148890
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292699
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
16402
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22512
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
41256
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
58679
697.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7352
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95009
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160324
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22849
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245099
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302750
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49940
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83683
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4672
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4816
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3785
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9287
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11454
197.9 IPS |
