Mac17,2
Geekbench AI Score
2915
Single Precision Score
4665
Half Precision Score
3663
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 2.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.5 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2022
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6228
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9438
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2234
177.9 IPS |
|
|
Object Detection (Q)
|
94% |
1541
122.8 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2482
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8130
62.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5596
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14561
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21697
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17693
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3965
146.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2805
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3010
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2966
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5518
95.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5530
95.6 IPS |
