iPhone 16 Pro
Geekbench AI Score
4573
Single Precision Score
33557
Half Precision Score
44819
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
14754
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
17940
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18149
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23745
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151932
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
290398
340.4 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
15901
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21026
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3714
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
40097
476.4 IPS |
|
|
Face Detection (Q)
|
100% |
53004
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8029
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94406
727.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
152776
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21744
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245389
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296688
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51941
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80517
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6230
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6183
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9314
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10514
181.7 IPS |
