MacBook Pro (14-inch, 2021)
Geekbench AI Score
3744
Single Precision Score
16337
Half Precision Score
15957
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
6746
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6471
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9647
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10286
166.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11124
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70160
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67005
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7867
625.8 IPS |
|
|
Object Detection (Q)
|
91% |
7364
588.4 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
15578
185.1 IPS |
|
|
Face Detection (Q)
|
100% |
12500
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5961
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51068
393.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
52832
412.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22322
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120021
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115727
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25679
948.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27583
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3883
67.1 IPS |
