Mac16,13
Geekbench AI Score
4817
Single Precision Score
36804
Half Precision Score
52063
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ventangelo |
| Upload Date | August 13 2025 12:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
17215
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25044
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22109
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30134
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123009
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231397
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2445
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
18259
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25908
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
44781
532.1 IPS |
|
|
Face Detection (Q)
|
100% |
64130
762.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99953
770.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169813
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21650
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233533
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294741
380.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6130
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50440
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87638
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6314
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18210
314.7 IPS |
