iPhone 16 Pro Max
Geekbench AI Score
4556
Single Precision Score
32810
Half Precision Score
45118
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | February 05 2025 02:32 AM |
| Views | 14 |
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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
14933
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20303
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18258
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23964
388.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8890
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154707
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293126
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
16090
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22148
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
41296
490.7 IPS |
|
|
Face Detection (Q)
|
100% |
56542
671.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7907
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94983
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160125
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23866
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245103
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304006
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50471
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83239
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4271
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9313
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11310
195.4 IPS |
