MacBook Pro (14-inch, 2021)
Geekbench AI Score
3613
Single Precision Score
5993
Half Precision Score
4773
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | September 13 2025 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (Q)
|
96% |
1392
260.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2563
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10557
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23262
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17669
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2371
188.8 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10362
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22054
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35193
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28068
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5420
200.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4006
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5180
89.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5162
89.2 IPS |
