MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4109
Single Precision Score
7022
Half Precision Score
5696
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | July 01 2025 09:01 PM |
| Views | 5 |
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% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2841
528.4 IPS |
|
|
Image Classification (Q)
|
96% |
1956
365.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3199
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8873
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17224
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14821
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.2 IPS |
|
|
Object Detection (HP)
|
97% |
3133
249.5 IPS |
|
|
Object Detection (Q)
|
94% |
2258
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
3862
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7046
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12660
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8861
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21984
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33697
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27910
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5213
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5574
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7430
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7454
128.8 IPS |
