Mac16,13
Geekbench AI Score
4670
Single Precision Score
37714
Half Precision Score
53239
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attibug |
| Upload Date | March 25 2025 03:09 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
18689
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
27380
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21545
349.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30233
490.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9881
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123703
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232244
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18783
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27328
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
41578
494.0 IPS |
|
|
Face Detection (Q)
|
100% |
65646
780.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99974
770.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172935
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25170
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237095
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298961
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5832
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49801
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88940
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
7561
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16769
288.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18481
319.4 IPS |
