Mac16,10
Geekbench AI Score
4834
Single Precision Score
7902
Half Precision Score
6853
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | April 25 2025 04:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (Q)
|
99% |
3330
621.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3137
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9949
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16491
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7519
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4408
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8687
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14738
113.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
14684
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21828
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38624
49.7 IPS |
|
|
Style Transfer (Q)
|
100% |
38558
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4945
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4363
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7168
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.2 IPS |
