Mac16,13
Geekbench AI Score
8191
Single Precision Score
9611
Half Precision Score
8717
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attibug |
| Upload Date | March 25 2025 03:04 AM |
| Views | 9 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4646
864.0 IPS |
|
|
Image Classification (HP)
|
100% |
4913
913.6 IPS |
|
|
Image Classification (Q)
|
97% |
4208
785.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6733
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7221
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28097
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30183
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28753
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4766
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
5311
421.3 IPS |
|
|
Object Detection (Q)
|
91% |
4467
356.9 IPS |
|
|
Face Detection (SP)
|
100% |
12681
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16077
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
11886
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20569
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22691
174.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19502
152.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54839
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67890
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63326
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11834
437.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12905
476.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10415
384.6 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
764
13.2 IPS |
