MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4063
Single Precision Score
7080
Half Precision Score
6239
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
99% |
2931
546.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2884
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8378
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17470
20.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14973
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1743
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3263
259.7 IPS |
|
|
Object Detection (Q)
|
94% |
2403
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7180
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4245
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12710
98.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
12691
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22090
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33700
43.3 IPS |
|
|
Style Transfer (Q)
|
100% |
33722
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4858
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4306
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4838
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7710
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7775
134.4 IPS |
