MacBook Pro (14-inch, 2021)
Geekbench AI Score
6524
Single Precision Score
6528
Half Precision Score
5713
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | yuyhero |
| Upload Date | August 17 2024 07:44 AM |
| Views | 10 |
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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (HP)
|
100% |
3458
643.1 IPS |
|
|
Image Classification (Q)
|
99% |
2961
552.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5547
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5575
90.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5405
87.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29455
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30711
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
27275
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
3592
284.9 IPS |
|
|
Object Detection (Q)
|
92% |
2807
224.1 IPS |
|
|
Face Detection (SP)
|
100% |
11618
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
12023
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
8385
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17019
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17356
133.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
17220
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49573
63.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58245
74.9 IPS |
|
|
Style Transfer (Q)
|
100% |
57620
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10590
391.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10955
404.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8113
300.6 IPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.0 IPS |
|
|
Text Classification (Q)
|
93% |
469
629.1 IPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |
