Mac17,2
Geekbench AI Score
5340
Single Precision Score
8738
Half Precision Score
6923
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:03 PM |
| Views | 2 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.4 IPS |
|
|
Image Classification (Q)
|
96% |
2543
474.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11302
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20716
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17909
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2983
237.8 IPS |
|
|
Face Detection (SP)
|
100% |
4888
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
8643
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
4887
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9176
70.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15220
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10613
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25853
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41496
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33975
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5050
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9986
172.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9454
163.4 IPS |
