MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4157
Single Precision Score
7017
Half Precision Score
5734
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 12:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1627
302.6 IPS |
|
|
Image Classification (HP)
|
100% |
2851
530.1 IPS |
|
|
Image Classification (Q)
|
96% |
1962
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9024
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17467
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15003
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.6 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.4 IPS |
|
|
Object Detection (Q)
|
94% |
2302
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
4020
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7174
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12737
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8925
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22343
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34089
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28146
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5655
208.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5082
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5089
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7846
135.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7780
134.5 IPS |
