MacBook Pro (14-inch, 2021)
Geekbench AI Score
2606
Single Precision Score
4012
Half Precision Score
3334
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.1 IPS |
|
|
Image Classification (Q)
|
99% |
1543
287.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
12131
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10499
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
97% |
1817
144.6 IPS |
|
|
Object Detection (Q)
|
94% |
1396
111.3 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2506
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4812
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7476
57.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
3628
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13685
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22982
29.5 IPS |
|
|
Style Transfer (Q)
|
100% |
22469
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3208
118.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3067
113.6 IPS |
|
|
Text Classification (SP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3516
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2919
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2906
50.2 IPS |
