Mac17,2
Geekbench AI Score
13214
Single Precision Score
24737
Half Precision Score
23609
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | TanSteven |
| Upload Date | October 27 2025 02:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6332
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11215
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
9921
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10269
166.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16800
272.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17267
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39561
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103439
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111332
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6454
511.9 IPS |
|
|
Object Detection (HP)
|
100% |
11842
939.3 IPS |
|
|
Object Detection (Q)
|
93% |
10011
798.6 IPS |
|
|
Face Detection (SP)
|
100% |
18510
219.9 IPS |
|
|
Face Detection (HP)
|
100% |
34150
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
26688
317.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28537
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55879
430.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
53251
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81855
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190882
245.4 IPS |
|
|
Style Transfer (Q)
|
96% |
210236
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16345
603.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33119
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30663
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6367
109.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5585
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5578
96.4 IPS |
