MacBook Pro (14-inch, 2021)
Geekbench AI Score
2366
Single Precision Score
3659
Half Precision Score
3051
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | August 16 2024 07:07 AM |
| Views | 5 |
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 | 3.06 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
223.1 IPS |
|
|
Image Classification (HP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (Q)
|
99% |
1506
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
898
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4228
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
10533
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8632
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
97% |
1456
115.9 IPS |
|
|
Object Detection (Q)
|
94% |
1429
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1947
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2011
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4030
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6139
47.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
2910
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11780
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17733
22.8 IPS |
|
|
Style Transfer (Q)
|
100% |
21788
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3159
116.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3258
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3474
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1743
30.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2898
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2909
50.3 IPS |
