iPhone 17 Pro
Geekbench AI Score
9957
Single Precision Score
18972
Half Precision Score
20276
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 03:02 AM |
| Views | 4 |
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% |
4286
797.0 IPS |
|
|
Image Classification (HP)
|
100% |
8799
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
8935
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6105
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9678
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10530
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20408
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54208
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
68396
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
4445
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
8597
681.9 IPS |
|
|
Object Detection (Q)
|
94% |
9646
769.1 IPS |
|
|
Face Detection (SP)
|
100% |
12216
145.1 IPS |
|
|
Face Detection (HP)
|
100% |
26606
316.1 IPS |
|
|
Face Detection (Q)
|
100% |
25373
301.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18046
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33914
261.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37857
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44740
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
97557
125.4 IPS |
|
|
Style Transfer (Q)
|
96% |
124729
161.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20182
745.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22240
821.2 IPS |
|
|
Text Classification (SP)
|
100% |
6562
8.76 KIPS |
|
|
Text Classification (HP)
|
100% |
11307
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11130
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5991
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7580
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6380
110.2 IPS |
