iPhone 16 Pro
Geekbench AI Score
6209
Single Precision Score
6985
Half Precision Score
6724
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 11:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3003
558.4 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.0 IPS |
|
|
Image Classification (Q)
|
96% |
3083
575.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4453
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4782
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15642
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16538
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
15991
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3359
266.5 IPS |
|
|
Object Detection (HP)
|
100% |
3525
279.6 IPS |
|
|
Object Detection (Q)
|
92% |
3211
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
7797
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
10874
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
8683
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13493
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14549
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13477
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32991
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37795
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37097
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8088
298.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8486
313.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7606
280.9 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
