Mac17,2
Geekbench AI Score
13514
Single Precision Score
25271
Half Precision Score
24089
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EvarinthoSec |
| Upload Date | November 08 2025 03:49 PM |
| Views | 8 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6266
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10913
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
9785
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10152
164.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16779
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17214
279.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39466
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102665
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
111369
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6473
513.4 IPS |
|
|
Object Detection (HP)
|
100% |
11695
927.6 IPS |
|
|
Object Detection (Q)
|
93% |
9881
788.3 IPS |
|
|
Face Detection (SP)
|
100% |
17931
213.1 IPS |
|
|
Face Detection (HP)
|
100% |
33478
397.8 IPS |
|
|
Face Detection (Q)
|
100% |
26023
309.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28553
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54902
423.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
52510
410.0 IPS |
|
|
Style Transfer (SP)
|
100% |
81397
104.6 IPS |
|
|
Style Transfer (HP)
|
100% |
189030
243.0 IPS |
|
|
Style Transfer (Q)
|
96% |
211318
272.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16359
604.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33026
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29328
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6164
106.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7411
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7513
129.8 IPS |
