MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3221
Single Precision Score
5634
Half Precision Score
4642
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 08 2025 11:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.52 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.6 IPS |
|
|
Image Classification (Q)
|
96% |
1675
312.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2727
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7147
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
14959
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2711
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10865
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7666
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16532
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24330
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22216
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4433
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4318
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4711
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4643
80.2 IPS |
