MacBook Pro (14-inch, 2021)
Geekbench AI Score
8147
Single Precision Score
9028
Half Precision Score
8384
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | September 26 2025 12:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3738
695.1 IPS |
|
|
Image Classification (HP)
|
100% |
3885
722.5 IPS |
|
|
Image Classification (Q)
|
96% |
3567
666.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6745
109.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6778
109.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6477
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29805
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32272
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31135
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
3823
303.3 IPS |
|
|
Object Detection (Q)
|
92% |
3542
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
12942
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
13522
160.7 IPS |
|
|
Face Detection (Q)
|
100% |
11710
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17400
134.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16640
128.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15284
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50238
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59755
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58403
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10468
386.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11121
410.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9555
352.8 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1680
29.0 IPS |
