Mac17,2
Geekbench AI Score
5266
Single Precision Score
41638
Half Precision Score
57797
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 11:19 AM |
| Views | 2 |
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% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
18492
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24600
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23859
386.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33454
542.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10955
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178645
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
335045
392.7 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
19454
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27093
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4854
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
47324
562.3 IPS |
|
|
Face Detection (Q)
|
100% |
66544
790.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111089
855.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
182201
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27561
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271216
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373880
482.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64424
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101637
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6282
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6555
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17704
304.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18439
318.7 IPS |
