MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3998
Single Precision Score
7123
Half Precision Score
5757
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | matta |
| Upload Date | March 18 2026 06:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8279
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17480
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15057
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2355
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3984
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6888
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12780
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8997
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33867
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28126
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6637
114.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6599
114.0 IPS |
