MacBook Pro (14-inch, 2021)
Geekbench AI Score
3456
Single Precision Score
5573
Half Precision Score
4280
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
96% |
1411
263.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2555
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10580
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21278
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17071
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2322
184.8 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5325
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
2431
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5062
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10145
78.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6608
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18966
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31875
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24959
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3857
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3543
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3559
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3857
66.6 IPS |
