MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4175
Single Precision Score
6939
Half Precision Score
5612
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
2823
525.0 IPS |
|
|
Image Classification (Q)
|
96% |
1951
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8968
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17292
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14904
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
3215
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7273
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13382
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9177
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22440
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33505
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27386
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4263
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5020
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6541
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6528
112.8 IPS |
