iPhone 15 Pro
Geekbench AI Score
5091
Single Precision Score
6076
Half Precision Score
5327
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2248
418.1 IPS |
|
|
Image Classification (HP)
|
100% |
2553
474.8 IPS |
|
|
Image Classification (Q)
|
97% |
2040
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3789
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3829
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13563
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14354
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13526
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
3026
240.1 IPS |
|
|
Object Detection (Q)
|
91% |
2382
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8875
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6219
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11087
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12027
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10436
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27885
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32433
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30683
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6215
229.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6386
235.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5513
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1373
23.7 IPS |
