Mac16,10
Geekbench AI Score
4740
Single Precision Score
7783
Half Precision Score
6269
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 25 2024 09:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3211
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19072
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16509
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7476
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4343
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14655
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10244
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25302
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38211
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31686
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6805
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4812
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5414
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6943
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6875
118.8 IPS |
