Mac17,2
Geekbench AI Score
13650
Single Precision Score
25574
Half Precision Score
24414
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 09:01 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11097
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9911
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10261
166.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16736
271.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17271
280.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39656
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103164
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
112065
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
6452
511.8 IPS |
|
|
Object Detection (HP)
|
100% |
11789
935.1 IPS |
|
|
Object Detection (Q)
|
93% |
9970
795.4 IPS |
|
|
Face Detection (SP)
|
100% |
18666
221.8 IPS |
|
|
Face Detection (HP)
|
100% |
34039
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
26821
318.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28570
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55917
430.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
53295
416.1 IPS |
|
|
Style Transfer (SP)
|
100% |
82046
105.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191000
245.5 IPS |
|
|
Style Transfer (Q)
|
96% |
211236
272.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16133
595.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32998
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30334
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7856
135.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7891
136.4 IPS |
