MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10592
Single Precision Score
12281
Half Precision Score
10830
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5963
1.11 KIPS |
|
|
Image Classification (Q)
|
97% |
5020
936.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6946
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8607
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8881
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34865
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36854
43.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
35014
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5554
440.5 IPS |
|
|
Object Detection (HP)
|
100% |
5918
469.4 IPS |
|
|
Object Detection (Q)
|
91% |
4993
399.0 IPS |
|
|
Face Detection (SP)
|
100% |
16176
192.2 IPS |
|
|
Face Detection (HP)
|
100% |
19357
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
14467
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22757
175.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24707
190.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20784
162.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77183
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86992
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
81266
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13823
510.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15236
562.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11394
420.7 IPS |
|
|
Text Classification (SP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4970
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4983
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2053
35.5 IPS |
