MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4170
Single Precision Score
6922
Half Precision Score
5603
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 10:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1588
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
2788
518.5 IPS |
|
|
Image Classification (Q)
|
96% |
1931
360.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8963
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17285
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14930
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3213
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2295
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3962
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7224
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13380
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9175
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33334
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27594
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4324
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4937
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4948
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6449
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
