Mac17,2
Geekbench AI Score
13501
Single Precision Score
25281
Half Precision Score
21170
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 07:42 AM |
| Views | 6 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6285
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10945
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9654
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10115
164.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16666
270.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17231
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39488
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102445
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111169
130.3 IPS |
|
|
Object Detection (SP)
|
100% |
6416
508.9 IPS |
|
|
Object Detection (HP)
|
100% |
11516
913.4 IPS |
|
|
Object Detection (Q)
|
93% |
9923
791.6 IPS |
|
|
Face Detection (SP)
|
100% |
17803
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
33506
398.1 IPS |
|
|
Face Detection (Q)
|
100% |
26186
311.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28530
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55156
424.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
52885
412.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81438
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
190978
245.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209738
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16189
597.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32934
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29833
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6250
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7746
133.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2043
35.3 IPS |
