MacBook Pro (14-inch, 2021)
Geekbench AI Score
6625
Single Precision Score
7011
Half Precision Score
2284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3708
689.5 IPS |
|
|
Image Classification (HP)
|
100% |
3776
702.3 IPS |
|
|
Image Classification (Q)
|
97% |
2901
541.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6125
99.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5907
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32914
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34290
40.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
30681
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (HP)
|
100% |
3899
309.2 IPS |
|
|
Object Detection (Q)
|
92% |
3021
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
12652
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
13314
158.2 IPS |
|
|
Face Detection (Q)
|
100% |
9241
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19488
150.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19819
152.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
120.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53323
68.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62936
80.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59865
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10902
402.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11665
430.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8557
316.0 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.6 IPS |
|
|
Text Classification (HP)
|
100% |
530
706.8 IPS |
|
|
Text Classification (Q)
|
93% |
524
703.7 IPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
