MacBook Pro M4 Mac16,1
Geekbench AI Score
4740
Single Precision Score
36711
Half Precision Score
52183
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:12 PM |
| Views | 6 |
| Notes | Mac16,1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
17170
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
25627
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21099
342.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30100
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123277
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232793
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
18605
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25987
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
43267
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
61657
732.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99777
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169509
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25416
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232843
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298116
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49504
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87193
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6455
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16407
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18298
316.2 IPS |
