Mac16,10
Geekbench AI Score
4759
Single Precision Score
7854
Half Precision Score
6340
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 25 2025 09:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.3 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3181
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16598
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2750
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7662
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4496
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14876
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10404
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25434
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38500
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32079
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4788
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6984
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
