iPhone 15 Pro
Geekbench AI Score
3842
Single Precision Score
6820
Half Precision Score
5526
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 02 2025 04:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1691
314.5 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.4 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7652
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
14946
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12959
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3732
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6675
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12839
99.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8059
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19513
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31956
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26740
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5781
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7063
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.5 IPS |
