MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4145
Single Precision Score
7111
Half Precision Score
5759
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | August 19 2025 05:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1606
298.8 IPS |
|
|
Image Classification (HP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (Q)
|
96% |
2096
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2977
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8895
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17521
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15172
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
97% |
3276
260.8 IPS |
|
|
Object Detection (Q)
|
94% |
2388
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7208
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13028
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9190
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22472
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34587
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28722
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6431
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6376
110.2 IPS |
