MacBook Pro (14-inch, 2023)
Geekbench AI Score
4157
Single Precision Score
6679
Half Precision Score
5305
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 05:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.5 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2951
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13047
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
24783
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19474
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1705
135.2 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5884
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6381
49.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12164
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8183
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24942
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38738
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30497
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4434
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3839
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6214
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6315
109.1 IPS |
