MacBook Pro (14-inch, 2021)
Geekbench AI Score
3737
Single Precision Score
5734
Half Precision Score
4716
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 11:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.1 IPS |
|
|
Image Classification (Q)
|
96% |
1499
280.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2248
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2630
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21931
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16765
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2348
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1740
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10875
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7416
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22203
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35054
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27262
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4351
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6366
235.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3999
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3845
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3180
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4871
84.2 IPS |
