Mac16,10
Geekbench AI Score
4740
Single Precision Score
36733
Half Precision Score
51355
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 09:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17536
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25129
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21911
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29158
472.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123937
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232623
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
18264
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25581
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43107
512.2 IPS |
|
|
Face Detection (Q)
|
100% |
61251
727.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99919
769.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169888
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235417
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300003
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49376
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83672
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6230
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16524
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17983
310.8 IPS |
