Mac17,2
Geekbench AI Score
13614
Single Precision Score
25581
Half Precision Score
24509
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6305
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11084
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9944
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10243
166.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16821
272.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17252
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39591
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103488
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
111646
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6454
512.0 IPS |
|
|
Object Detection (HP)
|
100% |
11838
939.0 IPS |
|
|
Object Detection (Q)
|
93% |
10046
801.5 IPS |
|
|
Face Detection (SP)
|
100% |
18462
219.4 IPS |
|
|
Face Detection (HP)
|
100% |
34281
407.3 IPS |
|
|
Face Detection (Q)
|
100% |
26564
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28599
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55877
430.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
53212
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81240
104.4 IPS |
|
|
Style Transfer (HP)
|
100% |
191951
246.8 IPS |
|
|
Style Transfer (Q)
|
96% |
211057
272.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16166
596.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33081
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30543
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
6290
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7866
135.9 IPS |
