MacBook Pro (14-inch, 2021)
Geekbench AI Score
3723
Single Precision Score
16326
Half Precision Score
16137
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | QuanTrieuPCYT |
| Upload Date | October 19 2024 03:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
6755
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6420
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9696
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10331
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70086
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
68093
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7966
633.7 IPS |
|
|
Object Detection (Q)
|
91% |
7434
594.0 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15209
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51583
397.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53597
418.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22117
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121157
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
117349
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25472
940.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27504
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3659
63.2 IPS |
