MacBook Pro (14-inch, 2023)
Geekbench AI Score
9664
Single Precision Score
10991
Half Precision Score
9526
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 3 |
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 (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5113
950.8 IPS |
|
|
Image Classification (HP)
|
100% |
5203
967.6 IPS |
|
|
Image Classification (Q)
|
97% |
4327
807.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7441
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7459
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7281
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37245
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39494
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36585
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4796
380.4 IPS |
|
|
Object Detection (HP)
|
100% |
4906
389.1 IPS |
|
|
Object Detection (Q)
|
91% |
4176
333.7 IPS |
|
|
Face Detection (SP)
|
100% |
16693
198.3 IPS |
|
|
Face Detection (HP)
|
100% |
16968
201.6 IPS |
|
|
Face Detection (Q)
|
100% |
12503
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24091
185.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24886
191.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20486
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68427
88.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74721
96.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69996
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13465
497.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14018
517.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11206
413.8 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1588
27.4 IPS |
