iPhone 17 Pro
Geekbench AI Score
10040
Single Precision Score
19139
Half Precision Score
20524
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 06:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4384
815.4 IPS |
|
|
Image Classification (HP)
|
100% |
8797
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
9036
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6110
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9637
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10559
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20347
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54130
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68996
80.9 IPS |
|
|
Object Detection (SP)
|
100% |
4438
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
8675
688.1 IPS |
|
|
Object Detection (Q)
|
94% |
9636
768.3 IPS |
|
|
Face Detection (SP)
|
100% |
12244
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
26472
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
25524
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18046
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33802
260.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38638
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44543
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97028
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
123630
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20269
748.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22210
820.1 IPS |
|
|
Text Classification (SP)
|
99% |
6854
9.15 KIPS |
|
|
Text Classification (HP)
|
100% |
12441
16.6 KIPS |
|
|
Text Classification (Q)
|
93% |
11911
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7569
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6484
112.1 IPS |
