MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4131
Single Precision Score
30485
Half Precision Score
34264
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.69 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
17160
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
19835
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21803
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27554
446.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
113449
132.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
112059
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
18102
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
19932
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
38486
457.3 IPS |
|
|
Face Detection (Q)
|
100% |
49235
585.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7154
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93508
720.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
117771
920.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22293
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
216911
278.8 IPS |
|
|
Style Transfer (Q)
|
96% |
211153
272.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5238
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46243
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55018
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5161
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3404
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5259
90.9 IPS |
