MacBook Pro (14-inch, 2021)
Geekbench AI Score
3730
Single Precision Score
16421
Half Precision Score
16099
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 06:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1321
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
7004
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6571
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10348
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11155
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70457
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65894
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
8041
639.6 IPS |
|
|
Object Detection (Q)
|
91% |
7457
595.8 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
15829
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
13139
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50831
391.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53167
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120053
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116317
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26023
960.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28149
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3871
66.9 IPS |
