iPhone 16 Pro Max
Geekbench AI Score
4684
Single Precision Score
33197
Half Precision Score
46069
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:55 PM |
| Views | 4 |
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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
15209
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20376
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18303
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23881
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9325
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153504
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291638
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
16428
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22971
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
39877
473.8 IPS |
|
|
Face Detection (Q)
|
100% |
56457
670.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8321
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95042
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159314
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21284
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
246149
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303403
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51113
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84504
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5035
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10070
173.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11379
196.6 IPS |
