MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4063
Single Precision Score
30673
Half Precision Score
34608
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 12:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
15833
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
18077
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22716
368.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28367
459.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8395
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
121948
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
120393
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17185
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
20021
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3724
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
39654
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
52133
619.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7089
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96594
744.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121291
948.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22023
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226433
291.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220029
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44741
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54368
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5053
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5218
90.2 IPS |
