Mac17,2
Geekbench AI Score
5054
Single Precision Score
8349
Half Precision Score
6650
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 12:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
3537
657.8 IPS |
|
|
Image Classification (Q)
|
96% |
2429
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3729
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10587
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
20355
23.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17518
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (HP)
|
97% |
3974
316.4 IPS |
|
|
Object Detection (Q)
|
94% |
2758
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7966
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4619
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8902
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14849
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10326
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24779
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40792
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33609
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7414
273.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5152
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8146
140.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8339
144.1 IPS |
