MacBook Pro M4 Mac16,1
Geekbench AI Score
9206
Single Precision Score
11144
Half Precision Score
9757
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:06 PM |
| Views | 17 |
| Notes | Mac16,1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4629
860.9 IPS |
|
|
Image Classification (HP)
|
100% |
5006
931.0 IPS |
|
|
Image Classification (Q)
|
97% |
4372
815.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4971
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7060
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7576
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29833
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32099
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30566
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4985
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (Q)
|
91% |
4674
373.5 IPS |
|
|
Face Detection (SP)
|
100% |
13043
155.0 IPS |
|
|
Face Detection (HP)
|
100% |
16639
197.7 IPS |
|
|
Face Detection (Q)
|
100% |
12315
146.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21287
164.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23784
183.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19928
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58932
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72001
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67766
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12334
455.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13713
506.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10749
396.9 IPS |
|
|
Text Classification (SP)
|
100% |
3060
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1720
29.7 IPS |
