Mac17,2
Geekbench AI Score
13620
Single Precision Score
25571
Half Precision Score
24445
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | moltocartese |
| Upload Date | January 01 2026 11:55 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6296
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11116
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9954
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10236
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16730
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17218
279.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39553
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103357
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111030
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
6461
512.5 IPS |
|
|
Object Detection (HP)
|
100% |
11766
933.2 IPS |
|
|
Object Detection (Q)
|
93% |
9994
797.3 IPS |
|
|
Face Detection (SP)
|
100% |
18434
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
34137
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
26563
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28582
220.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55752
429.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
53127
414.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81178
104.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190214
244.5 IPS |
|
|
Style Transfer (Q)
|
96% |
210061
271.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16243
599.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32884
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30355
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7937
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7904
136.6 IPS |
