Mac16,13
Geekbench AI Score
8788
Single Precision Score
10455
Half Precision Score
9575
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 01:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4547
845.6 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.8 IPS |
|
|
Image Classification (Q)
|
96% |
4497
839.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7107
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7799
126.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7546
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27564
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29587
34.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
28863
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4521
358.6 IPS |
|
|
Object Detection (HP)
|
100% |
5159
409.2 IPS |
|
|
Object Detection (Q)
|
92% |
4720
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12381
147.1 IPS |
|
|
Face Detection (HP)
|
100% |
15975
189.8 IPS |
|
|
Face Detection (Q)
|
100% |
13216
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20194
155.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22302
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20422
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54573
70.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66929
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64339
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11614
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12584
464.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10955
404.5 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
