Mac16,10
Geekbench AI Score
4540
Single Precision Score
36988
Half Precision Score
52753
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 11:24 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
17593
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26286
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21634
350.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30177
489.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9459
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123554
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231735
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2219
176.0 IPS |
|
|
Object Detection (HP)
|
100% |
18771
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26860
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
44031
523.2 IPS |
|
|
Face Detection (Q)
|
100% |
64066
761.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99926
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
172284
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24216
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234117
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299940
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50655
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88204
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6721
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6628
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15486
266.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17469
301.9 IPS |
