Mac17,2
Geekbench AI Score
5306
Single Precision Score
8702
Half Precision Score
6951
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | December 05 2025 09:15 PM |
| Views | 4 |
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% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.4 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10491
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20868
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17941
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.4 IPS |
|
|
Object Detection (Q)
|
94% |
2974
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
4833
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8560
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4896
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9123
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14976
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10619
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27615
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41622
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34118
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7279
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9460
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9458
163.5 IPS |
