MacBook Pro (14-inch, 2021)
Geekbench AI Score
3644
Single Precision Score
5855
Half Precision Score
4679
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 27 2025 01:01 AM |
| Views | 9 |
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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1469
274.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11071
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21834
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17612
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1702
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3028
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9997
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6987
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20183
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32881
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26631
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4359
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5975
220.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3052
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4896
84.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4827
83.4 IPS |
