MacBook Pro (14-inch, 2021)
Geekbench AI Score
2736
Single Precision Score
4164
Half Precision Score
3511
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | agoebel |
| Upload Date | August 15 2024 08:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (Q)
|
99% |
1610
300.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1168
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5631
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13043
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11160
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
1893
150.7 IPS |
|
|
Object Detection (Q)
|
94% |
1467
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
2662
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5069
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7874
60.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4073
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14770
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23691
30.5 IPS |
|
|
Style Transfer (Q)
|
100% |
23593
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3335
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3286
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3523
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3123
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3131
54.1 IPS |
