Mac17,2
Geekbench AI Score
13630
Single Precision Score
25545
Half Precision Score
24499
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | December 14 2025 08:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 8 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6292
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10989
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9999
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10210
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16752
271.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17251
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39550
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102872
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
111351
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6465
512.8 IPS |
|
|
Object Detection (HP)
|
100% |
11785
934.8 IPS |
|
|
Object Detection (Q)
|
93% |
9974
795.7 IPS |
|
|
Face Detection (SP)
|
100% |
18254
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
33759
401.1 IPS |
|
|
Face Detection (Q)
|
100% |
26355
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28569
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55568
428.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
53206
415.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81414
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
191134
245.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210878
272.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16257
600.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32841
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31018
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6331
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7917
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7944
137.3 IPS |
