Mac16,10
Geekbench AI Score
4557
Single Precision Score
36977
Half Precision Score
52923
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 12 2024 10:58 PM |
| Views | 15 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (HP)
|
100% |
17948
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26799
5.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21630
350.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30238
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9630
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123445
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233214
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
19016
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26877
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
42978
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
59658
708.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8048
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99944
770.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
173328
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24526
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
236562
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300348
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50308
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89408
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6574
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6949
9.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15608
268.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17588
303.9 IPS |
