Mac17,5
Geekbench AI Score
4057
Single Precision Score
7030
Half Precision Score
5647
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 16 2026 03:50 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.2 (Build 25D2140) |
| Model | Mac17,5 |
| Model ID | Mac17,5 |
| Motherboard | Mac17,5 |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | Apple A18 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
3412
634.4 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2636
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2996
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
14413
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12471
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (HP)
|
97% |
3465
275.8 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6646
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3720
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6559
50.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
11340
87.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8543
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17482
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31575
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25945
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7702
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7685
132.8 IPS |
