MacBook Pro (14-inch, 2021)
Geekbench AI Score
8091
Single Precision Score
9191
Half Precision Score
8333
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pheonix74 |
| Upload Date | April 26 2025 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
3760
699.3 IPS |
|
|
Image Classification (HP)
|
100% |
3883
722.1 IPS |
|
|
Image Classification (Q)
|
96% |
3600
672.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6732
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6781
109.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6473
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29832
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31253
36.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30192
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3681
292.0 IPS |
|
|
Object Detection (HP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (Q)
|
92% |
3567
284.8 IPS |
|
|
Face Detection (SP)
|
100% |
13177
156.6 IPS |
|
|
Face Detection (HP)
|
100% |
13528
160.7 IPS |
|
|
Face Detection (Q)
|
100% |
11808
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17430
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16553
127.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15104
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50185
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59052
75.9 IPS |
|
|
Style Transfer (Q)
|
96% |
57591
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10478
386.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10902
402.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9410
347.5 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4009
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1662
28.7 IPS |
