iPhone 15 Pro
Geekbench AI Score
3933
Single Precision Score
6967
Half Precision Score
5696
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 02:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16449
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14383
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.3 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6796
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3832
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6808
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12968
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8987
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21192
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33943
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27799
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5806
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5746
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5728
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7081
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
