MacBook Pro (14-inch, 2021)
Geekbench AI Score
3727
Single Precision Score
15880
Half Precision Score
15878
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 09:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
6592
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
6379
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9511
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10081
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11021
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70018
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66169
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7488
595.6 IPS |
|
|
Object Detection (Q)
|
91% |
7043
562.7 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
14745
175.2 IPS |
|
|
Face Detection (Q)
|
100% |
14069
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
49481
381.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
51861
405.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22267
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119002
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115370
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25386
937.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27823
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3877
67.0 IPS |
