MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4065
Single Precision Score
7181
Half Precision Score
5864
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | itroos |
| Upload Date | December 11 2025 11:38 AM |
| Views | 14 |
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 (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
96% |
2067
386.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8419
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17440
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15156
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2409
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4240
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12870
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9218
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22158
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33766
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28369
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5029
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7913
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7752
134.0 IPS |
