MacBook Pro (14-inch, 2021)
Geekbench AI Score
3675
Single Precision Score
5701
Half Precision Score
4607
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1305
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (Q)
|
96% |
1449
270.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11017
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21603
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16941
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
97% |
2322
184.9 IPS |
|
|
Object Detection (Q)
|
94% |
1677
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3044
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10569
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7272
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34645
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25936
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4302
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6273
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3979
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3554
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4682
80.9 IPS |
