Mac16,13
Geekbench AI Score
8239
Single Precision Score
9975
Half Precision Score
8714
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4323
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
4787
890.1 IPS |
|
|
Image Classification (Q)
|
97% |
4140
772.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4794
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7092
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27833
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29987
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28517
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4688
371.9 IPS |
|
|
Object Detection (HP)
|
100% |
5236
415.3 IPS |
|
|
Object Detection (Q)
|
91% |
4412
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
12744
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16246
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
11919
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20207
155.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22369
172.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
18949
148.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54721
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66617
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
62885
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11793
435.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12640
466.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10138
374.3 IPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1131
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
874
15.1 IPS |
