MBAM4 Mac16,13
Geekbench AI Score
4695
Single Precision Score
7786
Half Precision Score
6286
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 09 2025 06:52 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.7 IPS |
|
|
Image Classification (Q)
|
96% |
2308
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3602
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19123
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16466
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3879
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14625
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10148
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25284
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38187
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31538
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6858
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6973
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6947
120.1 IPS |
