iPhone 17 Pro
Geekbench AI Score
5123
Single Precision Score
38480
Half Precision Score
52476
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
15957
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
23132
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19809
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24707
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8086
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
147507
172.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
275625
323.0 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
18267
1.45 KIPS |
|
|
Object Detection (Q)
|
89% |
25721
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4524
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
43489
516.7 IPS |
|
|
Face Detection (Q)
|
100% |
61878
735.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7662
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103412
796.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165162
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
20874
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
256893
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320110
413.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55211
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83690
3.09 KIPS |
|
|
Text Classification (SP)
|
99% |
6620
8.84 KIPS |
|
|
Text Classification (HP)
|
99% |
11637
15.5 KIPS |
|
|
Text Classification (Q)
|
92% |
11430
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5222
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11261
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12489
215.8 IPS |
