MacBook Pro (14-inch, 2025) Mac17,2
Geekbench AI Score
5310
Single Precision Score
42805
Half Precision Score
60466
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vtomi07 |
| Upload Date | October 29 2025 05:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
19115
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
27236
5.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24331
394.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33700
546.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
179538
209.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
336481
394.4 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
18737
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
28049
2.24 KIPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
46874
557.0 IPS |
|
|
Face Detection (Q)
|
100% |
67785
805.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113680
875.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
195971
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
27393
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
273482
351.6 IPS |
|
|
Style Transfer (Q)
|
96% |
377397
487.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67370
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103846
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
7326
9.78 KIPS |
|
|
Text Classification (Q)
|
93% |
7554
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
18354
316.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19179
331.4 IPS |
