MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4033
Single Precision Score
7171
Half Precision Score
5819
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Sami-Maatouq-Wali |
| Upload Date | December 02 2025 11:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.5 IPS |
|
|
Image Classification (Q)
|
96% |
2078
388.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17367
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15163
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
3177
252.9 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3682
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7082
84.2 IPS |
|
|
Face Detection (Q)
|
100% |
4152
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7041
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12758
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8499
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21449
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33543
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28130
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4385
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5138
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5115
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7848
135.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7852
135.7 IPS |
