Mac16,13
Geekbench AI Score
7913
Single Precision Score
9500
Half Precision Score
8535
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | March 08 2025 02:48 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4350
809.0 IPS |
|
|
Image Classification (HP)
|
100% |
4789
890.6 IPS |
|
|
Image Classification (Q)
|
97% |
4132
771.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6674
108.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7135
115.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27861
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29997
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28554
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4690
372.0 IPS |
|
|
Object Detection (HP)
|
100% |
5221
414.1 IPS |
|
|
Object Detection (Q)
|
91% |
4421
353.3 IPS |
|
|
Face Detection (SP)
|
100% |
12628
150.0 IPS |
|
|
Face Detection (HP)
|
100% |
16076
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
11854
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20196
155.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22389
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19266
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54728
70.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67024
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62721
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11592
428.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12838
474.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
710
12.3 IPS |
