Mac17,2
Geekbench AI Score
5338
Single Precision Score
8681
Half Precision Score
6912
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | moltocartese |
| Upload Date | January 01 2026 11:51 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3900
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20726
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17818
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2966
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8593
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4858
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9096
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15319
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10639
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27317
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41573
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34029
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5163
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9488
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9467
163.6 IPS |
