Mac17,2
Geekbench AI Score
5305
Single Precision Score
8719
Half Precision Score
6878
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 06:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2264
421.1 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (Q)
|
96% |
2540
474.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20729
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17812
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
97% |
4195
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2955
235.5 IPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4773
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15208
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10583
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27235
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41373
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33816
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7436
274.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5202
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9409
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9163
158.3 IPS |
