MP5 CPU Mac17,2
Geekbench AI Score
5324
Single Precision Score
8657
Half Precision Score
6900
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | SausageTaste |
| Upload Date | March 07 2026 01:52 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2296
426.9 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
96% |
2554
476.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3681
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3878
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11312
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20666
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17818
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4228
336.6 IPS |
|
|
Object Detection (Q)
|
94% |
2961
236.0 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7951
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4786
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9120
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15224
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10565
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26854
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41319
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33789
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7363
271.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5227
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9418
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9444
163.2 IPS |
