Mac17,2
Geekbench AI Score
13682
Single Precision Score
25586
Half Precision Score
24394
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6301
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11101
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9971
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10227
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16728
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17266
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39562
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103308
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111344
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6470
513.2 IPS |
|
|
Object Detection (HP)
|
100% |
11792
935.4 IPS |
|
|
Object Detection (Q)
|
93% |
10098
805.6 IPS |
|
|
Face Detection (SP)
|
100% |
18483
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
34235
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
26640
316.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28553
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55813
430.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
53331
416.4 IPS |
|
|
Style Transfer (SP)
|
100% |
81280
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
190507
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210035
271.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16860
622.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33094
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30291
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5397
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6314
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7936
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7905
136.6 IPS |
