Mac17,2
Geekbench AI Score
5237
Single Precision Score
43263
Half Precision Score
60900
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EvarinthoSec |
| Upload Date | November 08 2025 03:35 PM |
| Views | 17 |
| Notes | MacBook Pro M5 14Inch 16GB/512GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
18955
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
26890
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24330
394.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33607
544.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10676
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
178631
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
333333
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
20172
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
28638
2.29 KIPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
46956
557.9 IPS |
|
|
Face Detection (Q)
|
100% |
69825
829.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9092
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113804
876.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
198483
1.55 KIPS |
|
|
Style Transfer (SP)
|
100% |
27075
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
273335
351.4 IPS |
|
|
Style Transfer (Q)
|
96% |
378921
489.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68105
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105507
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
7577
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
7709
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4929
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18341
315.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19045
329.1 IPS |
