MacBook Pro (14-inch, 2021)
Geekbench AI Score
7959
Single Precision Score
8723
Half Precision Score
7666
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | renansoares |
| Upload Date | March 18 2025 12:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3713
690.4 IPS |
|
|
Image Classification (HP)
|
100% |
3869
719.5 IPS |
|
|
Image Classification (Q)
|
97% |
3159
589.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5824
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5866
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5820
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29808
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31313
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29118
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
3914
310.4 IPS |
|
|
Object Detection (Q)
|
91% |
3246
259.4 IPS |
|
|
Face Detection (SP)
|
100% |
13261
157.6 IPS |
|
|
Face Detection (HP)
|
100% |
13674
162.5 IPS |
|
|
Face Detection (Q)
|
100% |
9640
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17364
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17888
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
15116
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50161
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58953
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54990
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10517
388.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10830
399.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8500
313.8 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1500
25.9 IPS |
