Mac17,2
Geekbench AI Score
5334
Single Precision Score
42054
Half Precision Score
57799
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TanSteven |
| Upload Date | October 27 2025 02:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
18543
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24182
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24340
394.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33270
539.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176714
206.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
330035
386.8 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
18089
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27221
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
46947
557.8 IPS |
|
|
Face Detection (Q)
|
100% |
67141
797.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110310
849.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177992
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27605
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
271028
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
373800
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67370
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101425
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
7164
9.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6651
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17704
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19107
330.2 IPS |
