MacBook Pro (14-inch, 2021)
Geekbench AI Score
3745
Single Precision Score
16344
Half Precision Score
16213
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | November 23 2024 07:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
6706
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6526
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9600
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10259
166.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11257
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69739
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66934
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7896
628.1 IPS |
|
|
Object Detection (Q)
|
91% |
7349
587.2 IPS |
|
|
Face Detection (SP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
15804
187.8 IPS |
|
|
Face Detection (Q)
|
100% |
14843
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5969
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50883
392.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
52994
414.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22357
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120395
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115618
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25789
952.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27748
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3879
67.0 IPS |
