iPhone 16 Pro Max
Geekbench AI Score
4638
Single Precision Score
31641
Half Precision Score
42878
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | April 09 2025 08:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
15272
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19250
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18196
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23849
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9421
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153246
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291901
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
16142
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22448
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
40315
479.0 IPS |
|
|
Face Detection (Q)
|
100% |
57656
685.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96170
740.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159121
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20983
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245635
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304040
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50869
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83519
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2807
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9913
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10679
184.5 IPS |
