iPhone 16 Pro Max
Geekbench AI Score
4591
Single Precision Score
33004
Half Precision Score
45535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 10:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
15613
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20953
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18444
299.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24161
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9049
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153474
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291765
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22490
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
40067
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
56826
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95155
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161684
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19911
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246266
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302709
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50053
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84514
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4448
5.94 KIPS |
|
|
Text Classification (Q)
|
93% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10187
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11282
195.0 IPS |
