MacBook Pro (14-inch, 2021)
Geekbench AI Score
1961
Single Precision Score
12759
Half Precision Score
10721
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 09 2024 11:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
965
179.5 IPS |
|
|
Image Classification (HP)
|
100% |
6916
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6353
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3849
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
514
8.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
10139
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
68329
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66035
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
99% |
7393
588.1 IPS |
|
|
Object Detection (Q)
|
93% |
7149
570.4 IPS |
|
|
Face Detection (SP)
|
100% |
1928
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
11161
132.6 IPS |
|
|
Face Detection (Q)
|
100% |
11943
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3601
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45837
353.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
54770
428.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12231
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117205
150.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114394
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18730
691.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23099
852.9 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.7 IPS |
|
|
Text Classification (HP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2131
36.8 IPS |
