iPhone 15 Pro
Geekbench AI Score
3786
Single Precision Score
6809
Half Precision Score
5550
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
2925
543.9 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2998
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15539
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13627
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1704
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.2 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3705
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6651
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12527
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8717
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20105
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33010
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26368
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5938
219.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3186
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7206
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7256
125.4 IPS |
