MacBook Pro (16-inch, 2023)
Geekbench AI Score
4200
Single Precision Score
27143
Half Precision Score
30191
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2025 04:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14708
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
16962
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19666
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24687
400.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13035
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107490
125.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104611
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
99% |
15581
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17062
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
35105
417.1 IPS |
|
|
Face Detection (Q)
|
100% |
45483
540.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6450
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87846
676.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111572
871.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24889
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205524
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
188891
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41280
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49651
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4408
76.2 IPS |
