MacBook Pro 14 M4 Nov 2024 (Mac16,1) Mac16,1
Geekbench AI Score
8728
Single Precision Score
11050
Half Precision Score
9774
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | November 05 2024 04:09 PM |
| Views | 17 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3905
726.1 IPS |
|
|
Image Classification (HP)
|
100% |
5002
930.2 IPS |
|
|
Image Classification (Q)
|
97% |
4376
816.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7048
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6566
106.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24523
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32066
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30537
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4953
392.9 IPS |
|
|
Object Detection (HP)
|
100% |
5385
427.2 IPS |
|
|
Object Detection (Q)
|
91% |
4625
369.5 IPS |
|
|
Face Detection (SP)
|
100% |
13065
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
16476
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
12323
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21428
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23890
184.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20029
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60443
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72123
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67837
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12273
453.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13284
490.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10741
396.6 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2001
34.6 IPS |
