MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11614
Single Precision Score
13431
Half Precision Score
10012
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | August 15 2024 05:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6013
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
5816
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7359
119.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9949
161.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
9777
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45233
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48196
56.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
43855
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
5942
471.4 IPS |
|
|
Object Detection (HP)
|
100% |
6298
499.6 IPS |
|
|
Object Detection (Q)
|
91% |
5388
430.5 IPS |
|
|
Face Detection (SP)
|
100% |
17068
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
21045
250.1 IPS |
|
|
Face Detection (Q)
|
100% |
15382
182.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27068
208.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
30430
234.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
4515
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
92093
118.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105597
135.7 IPS |
|
|
Style Transfer (Q)
|
100% |
103766
133.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14734
544.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16143
596.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11221
415.7 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4747
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1914
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1972
34.1 IPS |
