iPhone 15 Pro
Geekbench AI Score
3973
Single Precision Score
6840
Half Precision Score
5618
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2024 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1719
319.6 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.0 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8028
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16436
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14402
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
97% |
3373
268.5 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7149
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13616
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21356
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32636
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27563
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5461
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6060
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6130
105.9 IPS |
