MacBook Pro (14-inch, 2021)
Geekbench AI Score
3658
Single Precision Score
5542
Half Precision Score
4660
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | HarshKarwal |
| Upload Date | October 04 2024 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1270
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2565
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18655
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17037
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.8 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5214
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10797
83.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7269
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21395
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34240
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26642
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3882
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3606
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4774
82.5 IPS |
