Mac16,13
Geekbench AI Score
8764
Single Precision Score
10360
Half Precision Score
9718
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 18 2025 09:55 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
4524
841.4 IPS |
|
|
Image Classification (HP)
|
100% |
4656
866.0 IPS |
|
|
Image Classification (Q)
|
96% |
4469
834.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7053
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7899
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7637
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27734
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29867
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29066
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4437
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
5094
404.0 IPS |
|
|
Object Detection (Q)
|
92% |
4673
373.0 IPS |
|
|
Face Detection (SP)
|
100% |
11543
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
15998
190.1 IPS |
|
|
Face Detection (Q)
|
100% |
13130
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20154
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22291
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20491
160.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54881
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66843
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64399
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11783
435.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12439
459.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10749
396.9 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1589
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1621
28.0 IPS |
