iPhone 16 Pro
Geekbench AI Score
4736
Single Precision Score
32787
Half Precision Score
44620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 06:03 AM |
| Views | 1 |
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 |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
15006
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19049
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18334
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24271
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9712
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152640
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293192
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
100% |
16147
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22791
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4027
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
40327
479.2 IPS |
|
|
Face Detection (Q)
|
100% |
57318
681.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95009
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159028
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21374
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245435
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301053
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50935
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83777
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10165
175.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10871
187.9 IPS |
