Mac16,13
Geekbench AI Score
4810
Single Precision Score
38005
Half Precision Score
54711
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | August 11 2025 10:43 PM |
| Views | 8 |
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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
18920
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
28551
5.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22270
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30463
493.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9844
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122644
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231819
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
19521
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27038
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4184
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
44811
532.5 IPS |
|
|
Face Detection (Q)
|
100% |
67496
802.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99873
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171958
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21444
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237737
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298087
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50271
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86828
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6926
9.25 KIPS |
|
|
Text Classification (Q)
|
93% |
7567
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4412
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16823
289.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19393
335.1 IPS |
