iPhone 16 Pro
Geekbench AI Score
4565
Single Precision Score
31211
Half Precision Score
43896
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:22 AM |
| Views | 12 |
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% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
15226
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21170
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18334
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8885
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152634
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
293155
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
16177
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22561
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
41425
492.2 IPS |
|
|
Face Detection (Q)
|
100% |
60703
721.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7812
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95038
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159538
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23059
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244904
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303541
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51750
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82781
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2879
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9162
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11265
194.7 IPS |
