MacBook Pro (14-inch, 2021)
Geekbench AI Score
7700
Single Precision Score
8403
Half Precision Score
7256
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 11:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3742
696.0 IPS |
|
|
Image Classification (HP)
|
100% |
3814
709.4 IPS |
|
|
Image Classification (Q)
|
97% |
2846
531.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5830
94.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5870
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5653
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29832
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31296
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
28461
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.5 IPS |
|
|
Object Detection (HP)
|
100% |
3877
307.5 IPS |
|
|
Object Detection (Q)
|
91% |
2970
237.3 IPS |
|
|
Face Detection (SP)
|
100% |
13157
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
13439
159.7 IPS |
|
|
Face Detection (Q)
|
100% |
9424
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17371
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17828
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13869
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50094
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59143
76.0 IPS |
|
|
Style Transfer (Q)
|
96% |
54269
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10834
400.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7984
294.8 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1368
23.6 IPS |
