iPhone 16 Pro
Geekbench AI Score
4491
Single Precision Score
32625
Half Precision Score
45593
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
15133
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20358
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18255
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24164
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8338
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
149924
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293517
344.0 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16310
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22577
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41204
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58380
693.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7644
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95003
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160827
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23743
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244651
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300964
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5635
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50528
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83269
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4396
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4404
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3835
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9508
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11492
198.6 IPS |
