iPhone 15 Pro
Geekbench AI Score
3811
Single Precision Score
25185
Half Precision Score
35358
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
12382
2.30 KIPS |
|
|
Image Classification (Q)
|
97% |
15491
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1604
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15780
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21184
343.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
101934
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203967
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
13882
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19193
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
35413
420.8 IPS |
|
|
Face Detection (Q)
|
100% |
50647
601.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78546
605.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126504
989.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19658
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201676
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
251045
324.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33956
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59222
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3384
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6090
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7376
127.5 IPS |
