Mac17,5
Geekbench AI Score
4727
Single Precision Score
7848
Half Precision Score
6263
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | March 11 2026 08:10 PM |
| Views | 6 |
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% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
3481
647.4 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17286
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14761
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7450
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4161
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7964
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13305
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9222
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21850
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36399
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30009
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7096
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8563
148.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8551
147.8 IPS |
