iPhone 15 Pro
Geekbench AI Score
3918
Single Precision Score
23360
Half Precision Score
31487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1679
312.3 IPS |
|
|
Image Classification (HP)
|
100% |
11432
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15353
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12923
209.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16012
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7528
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
105481
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203960
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
13681
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18870
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33674
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
49411
587.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7062
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78447
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128155
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20641
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
137827
177.2 IPS |
|
|
Style Transfer (Q)
|
96% |
165197
213.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34447
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56273
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7779
134.4 IPS |
