Mac17,2
Geekbench AI Score
5329
Single Precision Score
8710
Half Precision Score
6908
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2292
426.2 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.5 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2440
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11358
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20808
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17828
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
97% |
4255
338.7 IPS |
|
|
Object Detection (Q)
|
94% |
2992
238.5 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8543
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4795
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15015
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10618
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27422
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41308
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33808
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7319
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5632
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9773
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9396
162.4 IPS |
