iPhone 16 Pro Max
Geekbench AI Score
4563
Single Precision Score
32755
Half Precision Score
43545
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 06:34 AM |
| Views | 13 |
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% |
2015
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
14946
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20259
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18115
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24037
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9031
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154984
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294067
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22461
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41218
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57794
686.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7833
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95082
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160835
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24306
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245774
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302694
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50684
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84527
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4294
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2826
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11340
196.0 IPS |
