MacBook Pro (14-inch, 2021)
Geekbench AI Score
8057
Single Precision Score
9091
Half Precision Score
7947
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4055
754.2 IPS |
|
|
Image Classification (HP)
|
100% |
4229
786.6 IPS |
|
|
Image Classification (Q)
|
97% |
3561
664.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6324
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6537
106.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6466
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32676
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34854
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32265
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4029
319.6 IPS |
|
|
Object Detection (HP)
|
100% |
4130
327.6 IPS |
|
|
Object Detection (Q)
|
91% |
3445
275.3 IPS |
|
|
Face Detection (SP)
|
100% |
13875
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
14687
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
10594
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19878
153.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20812
160.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17204
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53808
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63734
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59760
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10816
399.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11420
421.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8813
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1030
17.8 IPS |
