MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
12275
Single Precision Score
14149
Half Precision Score
13065
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.70 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5946
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5789
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9576
155.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10338
167.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9800
158.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34831
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
37001
43.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
36019
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
5998
475.8 IPS |
|
|
Object Detection (HP)
|
100% |
6280
498.1 IPS |
|
|
Object Detection (Q)
|
92% |
5771
460.7 IPS |
|
|
Face Detection (SP)
|
100% |
16756
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
21104
250.8 IPS |
|
|
Face Detection (Q)
|
100% |
16312
193.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24507
188.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26210
201.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
23966
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79151
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88833
114.2 IPS |
|
|
Style Transfer (Q)
|
96% |
85964
110.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14756
544.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16415
606.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13997
516.8 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5078
87.8 IPS |
