Mac17,2
Geekbench AI Score
5343
Single Precision Score
8622
Half Precision Score
6859
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 16 2026 06:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2290
425.8 IPS |
|
|
Image Classification (HP)
|
100% |
3637
676.3 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3853
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11349
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20784
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17843
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2672
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4172
332.2 IPS |
|
|
Object Detection (Q)
|
94% |
2953
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4774
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15243
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10622
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27313
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41365
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33780
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9394
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9376
162.0 IPS |
