Mac17,2 (MBP 14, M5) Mac17,2
Geekbench AI Score
5262
Single Precision Score
8606
Half Precision Score
6846
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | October 19 2025 04:58 AM |
| Views | 8 |
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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2533
472.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3549
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3850
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11210
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20707
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17755
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
97% |
4163
331.5 IPS |
|
|
Object Detection (Q)
|
94% |
2946
234.8 IPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8434
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9067
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15039
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10521
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27047
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41046
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33632
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5473
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9296
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9263
160.1 IPS |
