iPhone 15 Pro
Geekbench AI Score
3414
Single Precision Score
6554
Half Precision Score
5360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 02:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2871
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14465
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12677
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
3175
252.8 IPS |
|
|
Object Detection (Q)
|
94% |
2260
180.2 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6130
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12264
94.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8539
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30812
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25300
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4233
156.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4264
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6650
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6585
113.8 IPS |
