Mac16,1
Geekbench AI Score
4665
Single Precision Score
7699
Half Precision Score
6204
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | February 07 2025 07:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3270
608.1 IPS |
|
|
Image Classification (Q)
|
96% |
2231
416.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3662
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9807
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18841
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16404
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7274
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4336
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14532
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10114
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24726
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37974
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31444
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6682
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5347
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3852
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6482
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6688
115.6 IPS |
