Mac17,5
Geekbench AI Score
4723
Single Precision Score
7928
Half Precision Score
6308
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mtx_1 |
| Upload Date | March 31 2026 06:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.6 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8969
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17743
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15363
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3879
308.8 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4085
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4240
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14041
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9563
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22793
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38009
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31120
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7140
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5101
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6156
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6155
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4661
80.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8619
148.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8625
149.0 IPS |
