MacBook Pro (14-inch, 2021)
Geekbench AI Score
3763
Single Precision Score
15848
Half Precision Score
15752
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 01 2025 04:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
6358
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6206
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9496
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10104
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11129
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71394
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67486
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
99% |
7543
600.0 IPS |
|
|
Object Detection (Q)
|
91% |
7086
566.2 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
14909
177.1 IPS |
|
|
Face Detection (Q)
|
100% |
13846
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6017
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50912
392.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
52435
409.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22313
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120995
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116506
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26106
964.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28268
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3344
57.8 IPS |
