Mac16,10
Geekbench AI Score
4746
Single Precision Score
7818
Half Precision Score
6824
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 16 2025 04:36 PM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (Q)
|
99% |
3283
612.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16462
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7463
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14868
114.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14968
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25433
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38586
49.6 IPS |
|
|
Style Transfer (Q)
|
100% |
38637
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6716
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4739
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6964
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6975
120.5 IPS |
