MacBook Pro (14-inch, 2021)
Geekbench AI Score
3672
Single Precision Score
16406
Half Precision Score
16330
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
6911
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6568
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69734
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65619
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7995
636.0 IPS |
|
|
Object Detection (Q)
|
91% |
7520
600.9 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
15746
187.1 IPS |
|
|
Face Detection (Q)
|
100% |
14994
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51689
398.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53841
420.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21953
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119841
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115732
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25943
957.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27978
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3868
66.8 IPS |
