MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4165
Single Precision Score
30502
Half Precision Score
34562
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 12:52 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
15846
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
18702
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27935
452.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120119
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119622
140.2 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
17846
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20152
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
39416
468.4 IPS |
|
|
Face Detection (Q)
|
100% |
52725
626.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7174
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96550
743.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
120567
942.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22342
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225997
290.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218393
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5265
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44482
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53718
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5000
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5142
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4865
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5037
87.0 IPS |
