MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4068
Single Precision Score
7151
Half Precision Score
5854
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 10:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2068
386.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17450
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15160
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3276
260.8 IPS |
|
|
Object Detection (Q)
|
94% |
2397
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7165
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
4196
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7124
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12821
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9132
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22113
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33837
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28264
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4358
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5061
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4992
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7880
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7860
135.8 IPS |
