MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
13279
Single Precision Score
24842
Half Precision Score
23593
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | October 29 2025 05:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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% |
6336
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11210
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
9806
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10230
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16767
271.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17248
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39629
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103338
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111661
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
6463
512.7 IPS |
|
|
Object Detection (HP)
|
100% |
11912
944.8 IPS |
|
|
Object Detection (Q)
|
93% |
10011
798.6 IPS |
|
|
Face Detection (SP)
|
100% |
18580
220.8 IPS |
|
|
Face Detection (HP)
|
100% |
34159
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
26775
318.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28600
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55333
426.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
53106
414.6 IPS |
|
|
Style Transfer (SP)
|
100% |
82275
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
190766
245.2 IPS |
|
|
Style Transfer (Q)
|
96% |
212045
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16659
615.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33394
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30596
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6345
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5484
94.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5494
94.9 IPS |
