MacBook Pro (16-inch, 2023)
Geekbench AI Score
10600
Single Precision Score
12235
Half Precision Score
10558
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5317
988.9 IPS |
|
|
Image Classification (HP)
|
100% |
5499
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4682
873.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8046
130.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8073
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8108
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45037
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47564
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44178
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
4986
395.5 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.6 IPS |
|
|
Object Detection (Q)
|
91% |
4344
347.1 IPS |
|
|
Face Detection (SP)
|
100% |
18078
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
19367
230.1 IPS |
|
|
Face Detection (Q)
|
100% |
13625
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25759
198.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26643
205.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22125
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80199
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85625
110.1 IPS |
|
|
Style Transfer (Q)
|
96% |
80074
103.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17577
649.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18871
696.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15255
563.3 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1630
28.2 IPS |
