MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4156
Single Precision Score
7032
Half Precision Score
5720
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 10:06 AM |
| Views | 6 |
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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
2849
529.8 IPS |
|
|
Image Classification (Q)
|
96% |
1966
367.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17466
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
97% |
3169
252.3 IPS |
|
|
Object Detection (Q)
|
94% |
2288
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6553
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12724
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8927
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22306
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34106
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28146
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5913
218.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
2858
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5118
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5140
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7638
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7728
133.5 IPS |
