Mac17,5
Geekbench AI Score
4734
Single Precision Score
7996
Half Precision Score
6343
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | JC_Coronel |
| Upload Date | April 10 2026 08:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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% |
2119
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
3471
645.5 IPS |
|
|
Image Classification (Q)
|
96% |
2342
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7366
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
16187
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13859
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.1 IPS |
|
|
Object Detection (HP)
|
97% |
3648
290.5 IPS |
|
|
Object Detection (Q)
|
94% |
2548
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7223
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6842
52.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12248
94.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8818
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19002
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35534
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28497
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4478
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6780
250.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4687
173.1 IPS |
|
|
Text Classification (SP)
|
99% |
6998
9.34 KIPS |
|
|
Text Classification (HP)
|
99% |
10664
14.2 KIPS |
|
|
Text Classification (Q)
|
93% |
10488
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7875
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7805
134.9 IPS |
