Mac17,2
Geekbench AI Score
5297
Single Precision Score
8590
Half Precision Score
6836
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 04:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.3 IPS |
|
|
Image Classification (Q)
|
96% |
2506
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3861
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11198
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20768
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17823
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.7 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8498
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4775
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9122
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15148
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10613
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26984
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41247
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33792
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5119
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5301
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9488
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9452
163.3 IPS |
