MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
6879
Half Precision Score
5598
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 18kjk |
| Upload Date | September 16 2025 09:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (Q)
|
96% |
1953
364.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3344
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17230
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14926
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6759
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7240
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13414
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9208
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22353
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32955
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27446
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4796
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6398
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6393
110.5 IPS |
