Mac16,13
Geekbench AI Score
4693
Single Precision Score
36229
Half Precision Score
51187
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | March 08 2025 02:50 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
17458
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25497
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21141
342.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28665
464.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9934
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123060
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232427
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
18284
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25624
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
42887
509.6 IPS |
|
|
Face Detection (Q)
|
100% |
61637
732.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99799
768.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168809
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25205
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231587
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296946
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5885
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48972
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83230
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5897
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16390
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18049
311.9 IPS |
