iPhone 15 Pro
Geekbench AI Score
3769
Single Precision Score
6873
Half Precision Score
5607
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 02:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1577
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7722
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
16845
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14528
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
3282
261.3 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6790
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12753
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8771
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20629
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32940
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27004
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5145
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7245
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7241
125.1 IPS |
