iPhone 16 Pro
Geekbench AI Score
4621
Single Precision Score
31649
Half Precision Score
44332
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14996
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20311
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18338
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24139
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9062
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154099
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293985
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
16229
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22554
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
40958
486.7 IPS |
|
|
Face Detection (Q)
|
100% |
58766
698.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7997
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95083
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160103
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24690
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244894
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300705
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49865
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84395
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3339
4.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9325
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11315
195.5 IPS |
