MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
13640
Single Precision Score
25593
Half Precision Score
24450
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | December 25 2025 02:40 PM |
| Views | 23 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6327
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11184
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
9944
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10255
166.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16781
272.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17264
279.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39583
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103284
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111572
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6448
511.5 IPS |
|
|
Object Detection (HP)
|
100% |
11738
931.1 IPS |
|
|
Object Detection (Q)
|
93% |
10034
800.5 IPS |
|
|
Face Detection (SP)
|
100% |
18710
222.3 IPS |
|
|
Face Detection (HP)
|
100% |
34080
404.9 IPS |
|
|
Face Detection (Q)
|
100% |
26726
317.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28552
220.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56047
431.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
53271
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81423
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
190734
245.2 IPS |
|
|
Style Transfer (Q)
|
96% |
209916
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16183
597.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32900
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30281
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6289
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7921
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7871
136.0 IPS |
