MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
5321
Single Precision Score
41811
Half Precision Score
58037
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | December 25 2025 02:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
18867
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
24988
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23892
387.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33157
537.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11345
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176883
206.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
329100
385.7 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
18058
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26881
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47591
565.5 IPS |
|
|
Face Detection (Q)
|
100% |
67982
807.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9113
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112089
863.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
174070
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
27297
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
271872
349.5 IPS |
|
|
Style Transfer (Q)
|
96% |
375887
485.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6016
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67210
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101828
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6544
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6895
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17781
306.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18942
327.3 IPS |
