MacBook Pro (14-inch, 2021)
Geekbench AI Score
3678
Single Precision Score
5873
Half Precision Score
4688
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 17 2025 01:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2553
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22309
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17385
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2296
182.8 IPS |
|
|
Object Detection (Q)
|
94% |
1708
136.1 IPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
5136
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3116
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10307
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7140
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33744
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25551
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4813
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4837
83.6 IPS |
