MacBook Pro M5 Mac17,2
Geekbench AI Score
5287
Single Precision Score
41591
Half Precision Score
59059
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | WilliamTM |
| Upload Date | October 23 2025 08:44 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2267
421.7 IPS |
|
|
Image Classification (HP)
|
100% |
18889
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
25645
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24105
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33714
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11275
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177435
207.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328490
385.0 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
18072
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
27291
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
47428
563.6 IPS |
|
|
Face Detection (Q)
|
100% |
68289
811.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9076
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112119
863.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179982
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26689
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271059
348.4 IPS |
|
|
Style Transfer (Q)
|
96% |
374000
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64617
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101582
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
7486
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5051
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17864
307.7 IPS |
|
|
Machine Translation (Q)
|
98% |
19057
329.3 IPS |
