Mac17,2
Geekbench AI Score
5293
Single Precision Score
8615
Half Precision Score
6845
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 03:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.1 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3553
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3837
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11262
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20827
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17817
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.8 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8429
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4748
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15179
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10572
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27145
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41138
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33685
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7291
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5569
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5591
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4934
85.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9242
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9322
161.1 IPS |
