MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3897
Single Precision Score
24973
Half Precision Score
27753
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.7 IPS |
|
|
Image Classification (HP)
|
100% |
16876
3.14 KIPS |
|
|
Image Classification (Q)
|
99% |
19481
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13839
224.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
13793
223.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8033
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
112603
131.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
113332
132.9 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
16569
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
20084
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
25346
301.2 IPS |
|
|
Face Detection (Q)
|
100% |
39398
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6765
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80421
619.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
89752
694.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20594
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
165798
213.1 IPS |
|
|
Style Transfer (Q)
|
100% |
166045
213.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45665
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54547
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5110
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5058
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2737
47.3 IPS |
