MacBook Pro (14-inch, 2021)
Geekbench AI Score
2749
Single Precision Score
4200
Half Precision Score
3500
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | August 17 2024 12:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (Q)
|
99% |
1625
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1174
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5630
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13104
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11217
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
1906
151.8 IPS |
|
|
Object Detection (Q)
|
94% |
1481
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2632
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5080
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7901
61.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3900
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14828
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23652
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23646
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4190
154.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3223
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3545
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3143
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3142
54.3 IPS |
