MacBook Pro (14-inch, 2021)
Geekbench AI Score
3687
Single Precision Score
15810
Half Precision Score
15561
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 06 2025 07:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
6308
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5753
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9172
148.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9780
158.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11099
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
67416
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
63708
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
6888
547.9 IPS |
|
|
Object Detection (Q)
|
91% |
6521
521.1 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
13050
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
12304
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45339
349.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
45461
355.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22483
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
114700
147.4 IPS |
|
|
Style Transfer (Q)
|
96% |
109802
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24589
908.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25509
941.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3928
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5507
94.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5789
100.0 IPS |
