iPhone 16 Pro Max
Geekbench AI Score
4547
Single Precision Score
33260
Half Precision Score
46095
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | January 02 2025 03:15 AM |
| Views | 4 |
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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
15771
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20484
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18302
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24149
391.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154328
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293504
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
16782
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
22902
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41158
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
58085
690.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94890
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159890
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24263
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245277
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302124
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50279
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84520
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4856
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9348
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11310
195.5 IPS |
