MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4032
Single Precision Score
30317
Half Precision Score
34094
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 05:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5054d) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
15638
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
17916
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22424
363.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27842
451.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8866
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121195
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120707
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
17345
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19630
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39112
464.7 IPS |
|
|
Face Detection (Q)
|
100% |
51166
608.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6937
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97220
749.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
120682
943.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22072
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
225641
290.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219545
283.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45243
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54913
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4907
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4955
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
