iPhone 15 Pro
Geekbench AI Score
3924
Single Precision Score
25020
Half Precision Score
35020
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1704
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
10894
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14989
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16623
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21728
352.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7581
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
105673
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
205974
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
13940
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19378
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
34185
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
51708
614.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7009
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78430
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126834
991.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21291
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207922
267.3 IPS |
|
|
Style Transfer (Q)
|
96% |
251922
325.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34329
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54848
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3103
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6584
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7592
131.2 IPS |
