MacBook Pro (14-inch, 2023)
Geekbench AI Score
4150
Single Precision Score
6735
Half Precision Score
5294
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 06:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2260
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2534
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2921
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12627
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24854
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19524
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.5 IPS |
|
|
Object Detection (Q)
|
94% |
2005
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
5977
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6298
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12205
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8309
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25233
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39532
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29338
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6225
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6244
107.9 IPS |
