Mac17,2
Geekbench AI Score
13556
Single Precision Score
25420
Half Precision Score
24203
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 13 2025 08:17 PM |
| Views | 7 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6323
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11212
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
9999
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10178
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16829
272.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17227
279.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39661
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103121
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
110752
129.8 IPS |
|
|
Object Detection (SP)
|
100% |
6458
512.3 IPS |
|
|
Object Detection (HP)
|
100% |
11692
927.4 IPS |
|
|
Object Detection (Q)
|
93% |
9902
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
18041
214.4 IPS |
|
|
Face Detection (HP)
|
100% |
33520
398.3 IPS |
|
|
Face Detection (Q)
|
100% |
26141
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28565
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55659
428.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52863
412.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81807
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190522
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210480
271.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16428
606.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33093
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30052
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5447
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6189
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7730
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7705
133.1 IPS |
